Astir Services LLC is known for its expertise in offering strategic IT services and solutions across various industries. The company has a strong reputation for delivering innovative and customized technology solutions to its clients.

Stepping into a technology-focused company like Astir Services LLC as a Data Engineer means you’ll be at the forefront of managing large-scale data systems and driving data-driven decisions. This role demands proficient skills in data warehousing, ETL processes, coding (especially Python and SQL), and a deep understanding of big data technologies. As a Data Engineer at Astir Services LLC, you’ll be responsible for building and maintaining scalable data pipelines, optimizing data storage, and ensuring the smooth operation of data integrations.

So, if you’re eyeing this dynamic position, this guide will walk you through the interview process, frequent questions, and useful tips to help you succeed. Let’s dive in!

Submitting Your Application

The first step in the interview process for a Data Engineer position at Astir Services LLC is to submit a compelling application that reflects your technical skills and interest in joining the company. Whether you were contacted by an Astir recruiter or have taken the initiative yourself, carefully review the job description and tailor your CV according to the prerequisites.

Tailoring your CV may include identifying specific keywords that the hiring manager might use to filter resumes and crafting a targeted cover letter. Furthermore, don’t forget to highlight relevant skills and mention your work experiences.

Recruiter/Hiring Manager Call Screening

If your CV happens to be among the shortlisted candidates, a recruiter from the Astir Talent Acquisition Team will make contact to verify key details like your experiences and skill level. Behavioral questions may also be part of the screening process.

In some cases, the Astir Services LLC Data Engineer hiring manager stays present during the screening round to answer your queries about the role and the company itself. They may also partake in surface-level technical and behavioral discussions.

The whole recruiter call should take about 30 minutes.

Technical Virtual Interview

Successfully navigating the recruiter round will present you with an invitation for the technical screening round. Technical screening for the Astir Services LLC Data Engineer role usually is conducted through virtual means, including video conference and screen sharing. Questions in this 1-hour long interview stage may revolve around Astir’s data systems, ETL pipelines, and SQL queries.

In the case of data engineer roles, take-home assignments regarding database design, data processing, and data warehousing are incorporated. Apart from these, your proficiency against data modeling, data integration, and cloud platform services may also be assessed during the round.

Depending on the seniority of the position, case studies and similar real-scenario problems may also be assigned.

Onsite Interview Rounds

Followed by a second recruiter call outlining the next stage, you’ll be invited to attend the onsite interview loop. Multiple interview rounds, varying with the role, will be conducted during your day at the Astir office. Your technical prowess, including programming and data engineering capabilities, will be evaluated against the finalized candidates throughout these interviews.

If you were assigned take-home exercises, a presentation round may also await you during the onsite interview for the Data Engineer role at Astir Services LLC.

Quick Tips For Astir Services LLC Data Engineer Interviews

You should plan to brush up on any technical skills and try as many practice interview questions and mock interviews as possible. A few tips for acing your Astir Services LLC interview include:

• Understand Their Data Systems: Astir's data engineering questions often involve intricate details about data systems and ETL pipelines. Make sure you know these topics thoroughly.
• Practical SQL Skills: Astir places a strong emphasis on SQL during their interviews. Practice various SQL problems using platforms like Interview Query to hone your skills.
• Integrate and Troubleshoot: The role might involve integrating different data sources and troubleshooting data inconsistencies. Demonstrating your problem-solving approach in these areas will set you apart.

Typically, interviews at Astir Services Llc vary by role and team, but commonly Data Engineer interviews follow a fairly standardized process across these question topics.

• Write a SQL query to select the 2nd highest salary in the engineering department. Write a SQL query to select the 2nd highest salary in the engineering department. If more than one person shares the highest salary, the query should select the next highest salary.

• Write a function to find the maximum number in a list of integers. Given a list of integers, write a function that returns the maximum number in the list. If the list is empty, return None.

• Create a function convert_to_bst to convert a sorted list into a balanced binary tree. Given a sorted list, create a function convert_to_bst that converts the list into a balanced binary tree. The output binary tree should be balanced, meaning the height difference between the left and right subtree of all the nodes should be at most one.

• Write a function to simulate drawing balls from a jar. Write a function to simulate drawing balls from a jar. The colors of the balls are stored in a list named jar, with corresponding counts of the balls stored in the same index in a list called n_balls.

• Develop a function can_shift to determine if one string can be shifted to become another. Given two strings A and B, write a function can_shift to return whether or not A can be shifted some number of places to get B.

• What are the drawbacks of having student test scores organized in the given layouts? Assume you have data on student test scores in two different layouts. Identify the drawbacks of these layouts and suggest formatting changes to make the data more useful for analysis. Additionally, describe common problems seen in "messy" datasets.

• How would you figure out where the mouse is using the fewest number of scans? You have a 4x4 grid with a mouse trapped in one of the cells. You can scan subsets of cells to know if the mouse is within that subset. How would you determine the mouse's location with the fewest scans?

• How would you decide which Dashers do deliveries in NYC and Charlotte for Doordash? Doordash is launching delivery services in New York City and Charlotte. How would you select Dashers for these deliveries, and would the criteria for selection be the same for both cities?

• What factors could have biased Jetco's study on boarding times? Jetco, a new airline, had a study showing it has the fastest average boarding times. What factors could have biased this result, and what would you investigate?

• How would you design an A/B test to evaluate a pricing increase for a B2B SAAS company? You work at a B2B SAAS company interested in testing different subscription pricing levels. How would you design a two-week A/B test to evaluate a pricing increase, and how would you determine if the increase is a good business decision?

• How much should a ride-sharing app budget for a $5 coupon initiative? A ride-sharing app has a probability (p) of dispensing a $5 coupon to a rider and services (N) riders. Calculate the total budget needed for the coupon initiative.

• What is the probability of riders getting a coupon? A driver using the app picks up two passengers. Determine:

• The probability of both riders getting the coupon.

• The probability that only one of them will get the coupon.

• What is a confidence interval for a statistic and why is it useful? Explain what a confidence interval is, why it is useful to know the confidence interval for a statistic, and how to calculate it.

• What is the probability of finding an item on Amazon's website? Amazon has a warehouse system where items are located at different distribution centers. Given the probabilities that item X is available at warehouse A (0.6) or warehouse B (0.8), calculate the probability that item X would be found on Amazon's website.

• Is a coin fair if it comes up tails 8 times out of 10 flips? You flip a coin 10 times, and it comes up tails 8 times and heads twice. Determine if this coin is fair.

• What are time series models and why are they needed? Describe what time series models are and explain why they are necessary when less complicated regression models are available.

• How would you justify the complexity of building a neural network model and explain predictions to non-technical stakeholders? Your manager asks you to build a neural network model to solve a business problem. How would you justify the complexity of the model and explain its predictions to non-technical stakeholders?

• How would you evaluate the suitability and performance of a decision tree model for predicting loan repayment? You are tasked with building a decision tree model to predict if a borrower will repay a personal loan. How would you evaluate whether a decision tree is the correct model and assess its performance before and after deployment?

• How does random forest generate the forest, and why use it over logistic regression? Explain the process by which random forest generates its forest. Additionally, discuss why one might choose random forest over other algorithms such as logistic regression.

• How would you explain linear regression to a child, a first-year college student, and a seasoned mathematician? Explain the concept of linear regression to three different audiences: a child, a first-year college student, and a seasoned mathematician. Ensure your explanations are tailored to each audience's understanding level.

• What are the key differences between classification models and regression models? Describe the main differences between classification models and regression models.

If you're aiming to excel in your interview at Astir Services LLC for the Data Engineer position, our comprehensive guide at Interview Query offers valuable insights and strategies. Our platform helps you tackle many interview questions and real-life challenges brilliantly. We also cover guides for other roles like software engineer and data analyst, providing a holistic view of Astir Services LLC’s hiring process across various positions.

At Interview Query, we equip you with the essential tools and knowledge to boost your confidence and succeed in every step of your interview journey. Dive into our company interview guides to prepare thoroughly. If you need additional information or support, don't hesitate to contact us.

Good luck with your interview!