The Tephra Inc Data Engineer interview guide, interview questions, salary data, and interview experiences.

Tephra Inc Data Engineer Interview Guide

Getting ready for an Data Engineer interview at Tephra Inc? The Tephra Inc Data Engineer interview span across 10 to 12 different question topics. In preparing for the interview:
<ul>
<li>Know what skills are necessary for Tephra Inc Data Engineer roles.</li>
<li>Gain insights into the Data Engineer interview process at Tephra Inc.</li>
<li>Practice real Tephra Inc Data Engineer interview questions.</li>
</ul>
Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Tephra Inc Data Engineer interview.


Getting ready for an Data Engineer interview at Tephra Inc? The Tephra Inc Data Engineer interview span across 10 to 12 different question topics. In preparing for the interview:

- Know what skills are necessary for Tephra Inc Data Engineer roles.
- Gain insights into the Data Engineer interview process at Tephra Inc.
- Practice real Tephra Inc Data Engineer interview questions.

Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Tephra Inc Data Engineer interview.
        

Overview

What Tephra Inc Looks for in a Data Engineer

We've gathered this data from parsing thousands of interview experiences sourced from members.

We've gathered this data from parsing thousands of interview experiences sourced from members.

Tephra Inc Data Engineer Interview Process

Interview Tips

You are tasked with keeping track of a customer’s addresses in your database.

However, customer’s addresses change whenever they move. We want to keep track of their moving history as well as the person that moves in afterwards.

How would you create or modify a schema to keep track of these address changes?

Create a schema to keep track of customer address changes

Address Schema

Data Modeling

You work as a data engineer for a city-wide bicycle rental company. The company wants to predict future bicycle rental volumes using historical data collected from multiple sources, such as station logs, weather files, and event schedules. You are given access to raw source files that are updated daily.

How would you design an end-to-end data pipeline to prepare and serve data for downstream predictive modeling of bicycle rental demand?

Design an end-to-end data pipeline to process and serve data for predicting bicycle rental volumes.

Bicycle Rental Data Pipeline

Batch & Stream Processing

You’re tasked with designing a database system for Swipe Inc., a company that manages payments for software developers. Swipe manages a set of APIs so developers can abstract payment processes for their web service and transfer control over to Swipe’s APIs to manage payment security and finance handling (contacting credit card providers, etc.)

Your database system should store a collection of API keys with their attributes, as shown in the example below:

<pre tabindex="0" class="chroma"><code>{
 &#34;API_key&#34;:{
 &#34;Transaction_list&#34;:{
 &#34;User_ID&#34;:{
 &#34;Name&#34;:{
 &#34;f_name&#34;: 
 &#34;l_name&#34;: 
 }
 &#34;Card_Details&#34;:{
 &#34;Bank&#34;:
 &#34;Card_No&#34;:
 &#34;Expiry&#34;:
 &#34;CV&#34;:
 } 
 }
 }
 &#34;Curr_balance&#34;:
 }
}
</code></pre>

What are the functional and non-functional requirements for this database?

Determine the requirements for designing a database system to store payment APIs

Swipe Payment API

Tephra Inc Data Engineer Interview Questions

Greetings from Tata Consultancy Services!!! Required Experience: 6+ YearsLocation: Bangalore As a Lead Software Engineer, you will use your deep Java, Scala, Python, scripting, DevOps, and data persistence skills to write and test code that delivers new features for our application portfolio. You will be an important part of a motivated team where we’ll be looking for you to collaborate with the team to contribute to application architecture, code quality, and make sure we are building the right things for our users. We want someone that has 7 or more years’ experience in designing and architecting highly scalable, secure, performant, and usable big data applications using Java, Scala and Python. The ideal candidate would possess solid skills in big data and full stack technology (Spark, Flink, Java, Spring, RESTful Web Services, Python, Javascript), while having expertise with orchestration and containerization platforms (Airflow, Docker and Kubernetes), coupled with hands on persistence and data streaming technology experience (Databricks, Snowflake, MySQL, Oracle, Cassandra, Redis, Kafka). Responsibilities and Duties of the Role:<ul><li>Build components of large-scale data platform for real-time and batch processing, and own features of big data applications to fit evolving business needs</li><li>Build next-gen cloud based big data infrastructure for batch and streaming data applications, and continuously improve performance, scalability and availability. Possess AWS managed service solution design and implementation experience </li><li>Contribute to the best engineering practices, including the use of design patterns, architecture, design, technical analysis, research spikes, POCs, CI/CD, code review and automated tests. Ensure code is deployed to production only after thorough review and approval process.</li><li>As a key member of the team, contribute to all aspects of the software lifecycle: design, experimentation, implementation and testing</li><li>Reason logically and creatively, identifying problems, drawing valid conclusions from the data available, and develop effective solutions while applying creative thinking in the design and development of high performing data applications</li><li>Write complex programs, analyze code changes and suggest improvements</li><li>Investigate and resolve any production issues from end user to persistence layer and work to prevent them</li><li>Work with leads, product managers and managers to ensure that all project initiatives are delivered on time with high quality</li><li>Collaborate with team to develop software architectures which are robust, fault-tolerant, and cloud-native</li><li>Work collaboratively with other service teams, build collaborative relationships with product, project managers, QA, cross team leads, build consensus and alignment amongst all members and help with resolving roadblocks</li><li>Take a high ownership, self-sufficient, hands-on position on the team to collaborate and drive quality, maintain application stability. Be fully aware of product requirements and provide correct solutions. Have awareness of end-to-end Organization's engineering architecture</li><li>Chip in ground-breaking innovation and apply the state-of-the-art technologies</li><li>Practice effective art of delegation and ensure team completes yearly OKR goals</li><li>Deliver multiple projects utilizing an Agile methodology. Provide accurate estimation of product initiatives, sprint roadmap, delivery plan and forecasts</li><li>Collaborate with fellow engineers to keep the team’s technology radar and architecture principles aligned to the industry and needs of our users </li></ul> Required Education, Experience/Skills/Training:<ul><li>Hold a Bachelor’s degree in Computer Science, Computer Information Systems, Engineering, or another technical field</li><li>Have 7+ years of experience in software engineering in a large enterprise environment using Java, Python, Javascript, including familiarity with modern web frameworks and platforms (e.g., Spring, Docker, Kubernetes, Kafka)</li><li>Have 7+ years of experience in big data application development in a large enterprise environment using Java, Scala, Python, including familiarity with modern big data frameworks and platforms (e.g., Spark, Flink, Singlestore, Kafka, Nifi and AWS big data technologies)</li><li>Be able to demonstrate significant experience working with relational databases, SQL and newer NoSQL data stores as well as event streaming platforms</li><li>Demonstrated ability with cloud infrastructure technologies, including Terraform, K8S, Spinnaker, IAM, ALB, etc.</li><li>Have a strong interest in open source technology</li><li>Knowledge of building highly available and scalable services</li><li>Passion about technologies and openness to interdisciplinary work</li><li>Possess good communication skills and enjoy mentoring and helping others to succeed as a team</li></ul>

Data EngineerBangalore / Full-Time Job Description Mareana is looking for experienced Data Engineer with a strong development background using, RDMS, graph database and NoSQL platforms. This role is responsible for developing and enhancing Mareana’s products in supply chain, manufacturing, and unstructured data. The ideal candidate should have experience in data engineering, end-to-end microservices-based application development, data wrangling, and building data pipelines. Candidates with solid knowledge of CI/CD pipelines, and Linux fundamentals will have an added advantage. What You'll Do<ul><li>Research, architect, and develop innovative multi-tiered solutions using modern tools and methodologies with a goal for technical excellence</li><li>Design and construct an optimized and purpose-built graph database architecture that promotes performance, scalability, and ease of support</li><li>Work closely with other developers, architects, and stakeholders to develop and build solutions</li><li>Ensure that the architecture and design of the solution is in alignment with overall enterprise architecture</li><li>Solve problems and proactively look for ways to improve our products and platform</li><li>Provide leadership on the future of core frameworks, API’s and design concepts when architecting applications</li><li>Mentor junior software developers</li></ul> Requirements<ul><li>Overall, 4 –7 years of experience in the industry with strong database experience</li><li>Minimum 2+ years of experience in Graph Databases like neo4j, including strong experience in object-graph mapping, exploration, analysis and reporting plugins, configuring neo4j-OGM, dependency management, variable-depth persistence, and clustering.</li><li>3+ years of Azure/AWS, Python, SQL and ETL experience</li><li>Hands-on expertise in modeling data in the form of graph nodes and vertices, CQL, Query tuning, Indexes, Graph OLTP and OLAP process understanding.</li><li>In-depth knowledge of end-to-end systems development life cycles (including agile, iterative, and other modern approaches to software development)</li><li>Good knowledge Graph Database (Neo4j) and Cypher Query</li><li>Expert in data transformation in SQL or Scala or Pandas</li><li>Expert in SQL RDBMS DB concept</li><li>Good knowledge in integration/import & export data</li><li>Knowledge of Cloud technologies (AZURE or AWS)</li><li>Outstanding verbal and written communication skills to technical and non-technical audiences of various levels in the organization (e.g., executive, management, individual contributors)</li></ul> Nice to Have<ul><li>Git/BitBucket, TFS/Azure DevOps proficiency</li><li>Rapid solution prototyping experience</li></ul> Benefits<ul><li>Medical Insurance</li><li>Paid Time Off</li><li>Employee referral bonus program</li><li>Awesome coworkers</li></ul> About MareanaFounded in 2015, Mareana is an AI-powered software company with the mission of accelerating digital transformation in manufacturing, supply chain, and sustainability via our connected intelligence platform.Mareana’s platform uses AI/ML to rapidly connect disparate, siloed data across the entire business process, allowing our customers to shift their time and effort from data preparation to making complex business decisions intuitively, in real time.Our customers are market leaders in life sciences, chemicals, and general manufacturing who have realized over a billion dollars in business value by leveraging our platform. Our ethos of continuous innovation has been recognized by Gartner, who named us a “Cool Vendor in AI”. We have also been featured as a thought leader in Silicon Review and Manufacturing Insights magazine

We are looking for an experienced Senior Data Engineer/Architect to help design and implement a modern data lakehouse platform from scratch. This role combines hands-on engineering with strategic decision-making around scalable data solutions. ???? Responsibilities:<ul><li>Design and implement a greenfield data lakehouse architecture.</li><li>Build and optimize data models, schemas, and integration patterns.</li><li>Develop scalable data storage and processing solutions using Azure and open-source components.</li><li>Implement data ingestion pipelines (ETL/ELT) and high-performance query APIs.</li><li>Integrate the platform with enterprise systems, ensuring data consistency and quality.</li><li>Create technical documentation, establish standards, and define data governance policies.</li></ul> ✅ Requirements:<ul><li>At least 5 years of hands-on experience with Microsoft Azure data services.</li><li>Proven track record of delivering large-scale data projects using Azure / Databricks / Spark.</li><li>Proficiency with Microsoft Azure Data Platform (Synapse, Data Factory, SQL Databases, Data Lake).</li><li>Practical experience with Spark or other big data frameworks.</li><li>Excellent knowledge of SQL, including query optimization.</li><li>Skills in .NET Core.</li><li>Solid understanding of data modeling techniques and pipeline design (ETL/ELT).</li></ul> ???? We offer:<ul><li>100% remote work and flexible hours</li><li>Private healthcare & multisport card</li><li>Opportunity to build a greenfield data platform from the ground up.</li><li>Work with the latest cloud-based technologies.</li><li>High degree of independence and real impact on technology choices.</li></ul>

Position: Data EngineerDepartment: IT | FinanceLocation: Lisbon or Porto (Hybrid, 2x)Experience: +3 years Job Summary:We are seeking a detail-oriented and analytical Data Engineer to join our team. The ideal candidate will possess a strong background in data analysis, statistical methods, and data visualization, while also demonstrating autonomy, strong communication skills, and a proactive mindset. This role involves working closely with various departments to gather data, analyze trends, and provide actionable insights that support business objectives. Key Responsibilities:<ul><li>Analyze and interpret complex data sets to provide actionable insights and support business objectives;</li><li>Collaborate with cross-functional teams to understand data requirements and provide analytical support;</li><li>Extract, transform, and load (ETL) data using SQL, Stambia, and Oracle Exadata (or other ETL tools) to ensure data quality and integrity;</li><li>Assist in the design and implementation of data models and structures to support reporting and analysis;</li><li>Present findings and recommendations to stakeholders in both French and English.</li></ul> Qualifications:<ul><li>Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field;</li><li>Proven experience as a Data Engineer or in a similar role (3+ years);</li><li>Proficient in SQL for data extraction and manipulation;</li><li>Extract, transform, and load (ETL) data using SQL, Stambia (or other ETL tools);</li><li>Proficiency in Power BI for data visualization and reporting is preferred;</li><li>Experience with Google Cloud Platform (GCP) is a plus;</li><li>Experience with Oracle Exadata database is a big plus;</li><li>Excellent communication skills in French (C1 level required) and English (B2 level required).</li></ul>

Role Overview:We’re looking for experienced AI data engineers skilled in Python to collaborate with one of the world’s top Large Language Model (LLM) companies. Your work will directly help improve how AI models think, reason, and code. In this role, you’ll generate and evaluate high-quality data used to fine-tune and benchmark LLMs. You’ll design prompts, analyze model outputs, write Python solutions, and provide detailed feedback that guides model improvements. This is a unique opportunity to contribute to the next generation of AI systems—without needing to train or build the models yourself. You’ll:<ul><li>Write and maintain clean, efficient Python code for AI training and evaluation.</li><li>Evaluate and compare model responses as part of RLHF (Reinforcement Learning with Human Feedback).</li><li>Create and refine datasets for SFT (Supervised Fine-Tuning).</li><li>Develop reasoning-based feedback to enhance model accuracy and alignment.</li><li>Collaborate with cross-functional teams to ensure high-quality data and evaluations.</li></ul> Requirements:<ul><li>3+ years of strong Python development experience.</li><li>Solid understanding of testing, debugging, async programming, and software best practices.</li><li>Excellent written and verbal communication in English.</li></ul> Offer Details:<ul><li>Commitment: Minimum 20 hrs/week (options for 20, 30, or 40 hrs).</li><li>Time Zone: 4-hour overlap with PST.</li><li>Contract: 1-month contractor role (no paid leave).</li><li>Evaluation: 2 interview rounds (~75 mins total).</li><li>Start: Expected next week.</li></ul> Perks:<ul><li>100% remote work.</li><li>Collaborate with leading LLM and AI research teams.</li><li>Work on real-world AI challenges shaping the future of intelligent systems.</li></ul> About Turing:Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at <a>turing.com/referrals</a>, and earn money from your network.

Hey All, We are looking for a mid-level data engineer. Location: NYC Long term Contract No third parties As a result of this expansion, we are seeking experienced software Data engineers with 5+ years of relevant experience to support the design and development of a strategic data platform for SMBC Capital Markets and Nikko Securities Group. Qualifications and Skills • Proven experience as a Data Engineer with experience in Azure cloud. • Experience implementing solutions using - • Azure cloud services • Azure Data Factory • Azure Lake Gen 2 • Azure Databases • Azure Data Fabric • API Gateway management • Azure Functions • Well versed with Azure Databricks • Strong SQL skills with RDMS or noSQL databases • Experience with developing APIs using FastAPI or similar frameworks in Python • Familiarity with the DevOps lifecycle (git, Jenkins, etc.), CI/CD processes • Good understanding of ETL/ELT processes • Experience in financial services industry, financial instruments, asset classes and market data are a plus.

Job Title: Azure Data Engineer/ ADF DeveloperExperience: 5-8 yearsBudget: 25-30 LPALocation: Hyderabad (Hybrid)Employment Type: Full-time Job Summary:We are seeking an experienced Azure Data Engineer with strong hands-on expertise in Azure Data Factory (ADF v2), Azure Synapse Analytics, Azure Data Lake Storage (ADLS Gen2), Azure Databricks, and working knowledge of Microsoft Fabric. The candidate will design, develop, and optimize scalable data pipelines and integration solutions across Azure environments to support analytics and BI workloads. Technical Skills – Mandatory:<ul><li>Azure Data Factory (ADF v2)</li><li>Azure Synapse Analytics</li><li>Azure Data Lake Storage (ADLS Gen2)</li><li>Azure SQL Database / Managed Instance</li><li>Azure Databricks / Spark</li><li>Azure Logic Apps / Functions</li><li>Working knowledge of Microsoft Fabric</li><li> </li></ul>Soft Skills:<ul><li>Mandatory: Good Communication, Analytical Thinking, Collaboration, Presentation Skills</li></ul> Roles & Responsibilities:<ul><li>Design, build, and automate end-to-end data pipelines using Azure Data Factory and Microsoft Fabric.</li><li>Develop ETL/ELT workflows integrating with Azure Synapse, Data Lake, SQL DB, and Databricks.</li><li>Implement data ingestion from on-prem SQL, SAP, APIs, and flat files to Azure environments.</li><li>Set up monitoring, alerting, and performance optimization for data pipelines.</li><li>Collaborate with BI, analytics, and data science teams to deliver high-quality data solutions.</li></ul> Please reach out to me for any queries. --

Senior Data EngineerHybrid (Bethlehem, PA)Contract We’re looking for a Senior Data Engineer to join our growing technology team and help shape the future of our enterprise data landscape. This is a hands-on, high-impact opportunity to make recommendations, build and evolve a modern data platform using Snowflake and cloud-based EDW Solutions. How You’ll Impact Results: <ul><li>Drive the evolution and architecture of scalable, secure, cloud-native data platforms </li><li>Design, build, and maintain data models, pipelines, and integration patterns across the data lake, data warehouse, and consumption layers </li><li>Lead deployment of long-term data products and infuse data and analytics capabilities across business and IT </li><li>Optimize data pipelines and warehouse performance for accuracy, accessibility, and speed </li><li>Collaborate cross-functionally to deliver data, experimentation, and analytics solutions </li><li>Implement systems to monitor data quality and ensure reliability and availability of Production data for downstream users, leadership teams, and business processes </li><li>Recommend and implement best practices for query performance, storage, and resource efficiency </li><li>Test and clearly document data assets, pipelines, and architecture to support usability and scale </li><li>Engage across project phases and serve as a key contributor in strategic data architecture initiatives</li></ul> Your Qualifications That Will Ensure Success: Required: <ul><li>10+ years of experience in Information Technology Data Engineering: </li><li> professional database and data warehouse development </li><li>Advanced proficiency in SQL, data modeling, and performance tuning </li><li>Experience in system configuration, security administration, and performance optimization </li><li>Deep experience required with Snowflake and modern cloud data platforms (AWS, Azure, or GCP) </li><li>Familiarity with developing cloud data applications (AWS, Azure, Google Cloud) and/or standard CI/CD tools like Azure DevOps or GitHub </li><li>Strong analytical, problem-solving, and documentation skills </li><li>Experience in system configuration, security administration, and performance optimization </li><li>Proficiency with Microsoft Excel and common data analysis tools </li><li>Ability to troubleshoot technical issues and provide system support to non-technical users.</li></ul> Preferred: <ul><li>Experience integrating SAP ECC data into cloud-native platforms </li><li>Exposure to AI/ML, API development, or Boomi Atmosphere </li><li>Prior experience in consumer packaged goods (CPG), Food / Beverage industry, or manufacturing</li></ul>

¿Data Engineer con experiencia en SQL y BigQuery? ¿Buscas seguir creciendo en las mejores condiciones y con la mayor cercanía y flexibilidad? ¡Esto te interesa! En VASS, compañía líder en soluciones tecnológicas, buscamos un profesional con sólida experiencia técnica en el ámbito de la ingeniería de datos, que pueda asumir responsabilidades clave en la integración, mantenimiento y evolución de plataformas de datos. ¿Qué valoramos?<ul><li>Experiencia mínima de 3 años como Data Engineer.</li><li>Fuertes conocimientos de SQL para desarrollar consultas complejas y procedimientos almacenados.</li><li>Experiencia con BigQuery y SQL Server.</li><li>Valorable experiencia con Databricks y conocimiento de herramientas de visualización del dato como PowerBI y Tableau. No será tu día a día, pero colaborarás estrechamente con el equipo especializado en Data Analysis.</li></ul> ¿Qué ofrecemos?<ul><li>Un ambiente de trabajo colaborativo e inclusivo.</li><li>Participar en proyectos de alto impacto.</li><li>Modelo híbrido de trabajo con presencialidad de 2 días a la semana y flexibilidad horaria.</li><li>Plan de Carrera y Certificaciones: Buscamos el crecimiento general y eso conlleva apoyar e incentivar el crecimiento de nuestros equipos a nivel laboral y personal. ????????</li></ul> Si eres una persona proactiva, con mentalidad analítica y te motiva conectar el mundo del dato con las necesidades del negocio, ¡queremos conocerte! ✨

At Algolia, we’re proud to be a pioneer and market leader in AI Search, empowering 17,000+ businesses to deliver blazing-fast, predictive search and browse experiences at internet scale. Every week, we power over 30 billion search requests — four times more than Microsoft Bing, Yahoo, Baidu, Yandex, and DuckDuckGo combined. In 2021, we raised $150 million in Series D funding, quadrupling our valuation to $2.25 billion. This strong foundation enables us to keep investing in our market-leading platform and serving incredible customers like Under Armour, PetSmart, Stripe, Gymshark, and Walgreens. The Team The Events team owns Algolia’s customer-facing Events platform, the entry point for sending user interaction data into our system. These events drive improvements in analytics, personalization, and search relevance for thousands of customers. We are continuing to expand and improve this existing system, which means you’ll play a critical role in onboarding to a mature product, helping a newly built team grow in confidence, and shaping the future of this high-volume, real-time data pipeline. The Role Will Consist Of As a Senior Data Engineer, you’ll help scale and evolve the backbone of Algolia’s Events platform. This means: <ul><li>Designing and maintaining reliable pipelines for ingesting and processing both real-time and batch data from diverse external sources (including Segment, Google Analytics, and direct customer integrations).</li><li>Owning and optimizing systems that run at massive scale, ensuring low-latency event delivery and high reliability.</li><li>Quickly getting up to speed with an established production system, and helping your teammates do the same.</li><li>Partnering with backend, frontend, and product teams to align technical decisions with customer-facing needs.</li><li>Contributing to architectural improvements that make our event ingestion platform more robust, efficient, and easy to extend.</li><li>Sharing knowledge across the team and mentoring new engineers to help them grow. </li></ul>You Might Be a Fit If You Have Must-haves <ul><li>Solid experience with data pipelines and event-driven architectures at scale.</li><li>Proficiency in Go or another backend language, with the ability to quickly adapt to new codebases.</li><li>Strong knowledge of distributed systems, APIs, and messaging platforms like Pub/Sub.</li><li>Hands-on experience with BigQuery or similar data warehouses for analytics.</li><li>A track record of collaborating with cross-functional teams and contributing to production-critical systems. </li></ul>Nice-to-haves <ul><li>Familiarity with GCP and Kubernetes in production environments.</li><li>Exposure to frontend systems (React, Rails) and how they interact with backend data pipelines.</li><li>Experience integrating with customer-facing APIs or analytics connectors.</li><li>Background in onboarding to inherited systems and driving re-architecture where needed. </li></ul>Team’s current stack Go backend on GCP and Kubernetes, pipelines built with BigQuery and Pub/Sub, integrating with a React + Rails frontend. Flexible Workplace Strategy Algolia’s flexible workplace model is designed to empower all Algolians to fulfill our mission to power search and discovery with ease. We place an emphasis on an individual’s impact, contribution, and output, over their physical location. Algolia is a high-trust environment and many of our team members have the autonomy to choose where they want to work and when. We have a global presence with offices in Paris, NYC, London, Sydney and Bucharest, however we also offer many of our team members the option to work remotely either as fully remote or hybrid-remote employees. Positions listed as "Remote" are only available for remote work within the specified country. Positions listed within a specific city are only available in that location - depending on the role it may be available with either a hybrid-remote or in-office schedule. WE’RE LOOKING FOR SOMEONE WHO CAN LIVE OUR VALUES: <ul><li>GRIT - Problem-solving and perseverance capability in an ever-changing and growing environment.</li><li>TRUST - Willingness to trust our co-workers and to take ownership.</li><li>CANDOR - Ability to receive and give constructive feedback.</li><li>CARE - Genuine care about other team members, our clients and the decisions we make in the company.</li><li>HUMILITY - Aptitude for learning from others, putting ego aside. </li></ul>We’re looking for talented, passionate people to help build the world’s best search and discovery technology. We value autonomy, diversity, and collaboration. We’re committed to creating an inclusive workplace where everyone is respected and supported—regardless of race, age, ancestry, religion, sex, gender identity, sexual orientation, marital status, color, veteran status, disability, or socioeconomic background. IMPORTANT NOTICE FOR CANDIDATES - Recruitment Fraud Notice We’ve Recently Seen An Increase In Recruitment Scams Targeting Job Seekers. To Help Protect Yourself, Please Keep The Following In Mind <ul><li>Our open positions may appear on third-party job boards, but the best way to apply safely is directly through our careers page.</li><li>All genuine communication from Algolia will come from an @algolia.com email address. If you receive an email from someone claiming to work at Algolia who does not have an @algolia.com email address, please do not respond or share any personal information.</li><li>We’ll never ask for payments, purchases, or financial details during the hiring process. </li></ul>READY TO APPLY? If you share our values and our enthusiasm for building the world’s best search & discovery technology, we’d love to review your application!

Question	Topic	Difficulty	Ask Chance
Address Schema	Data Modeling	Medium	Very High
Bicycle Rental Data Pipeline	Batch & Stream Processing	Medium	Very High
Swipe Payment API	Data Modeling	Easy	High