Role Description:As a Senior Technical Lead - Big Data Platform at Incedo, you will be responsible for designing and implementing big data platforms to support large-scale data integration projects. You will work with data architects and data engineers to define the platform architecture and build the necessary infrastructure. You will be skilled in big data technologies such as Hadoop, Spark, and Kafka and have experience in cloud computing platforms such as AWS or Azure. You will be responsible for ensuring the performance, scalability, and security of the big data platform and troubleshooting any issues that arise.Roles & Responsibilities:• Designing, developing and maintaining large-scale big data platforms using technologies like Hadoop, Spark and Kafka• Creating and managing data warehouses, data lakes and data marts• Implementing and optimizing ETL processes and data pipelines• Developing and maintaining security and access controls• Troubleshooting and resolving big data platform issues• Collaborating with other teams to ensure the consistency and integrity of data• Foster a collaborative and supportive work environment, promoting open communication and teamwork.• Demonstrate strong leadership skills, with the ability to inspire and motivate team members to perform at their best. Skills Requirements:• Experience with big data processing technologies such as Apache Hadoop, Apache Spark, or Apache Kafka.• Understanding of distributed computing concepts such as MapReduce, Spark RDDs, or Apache Flink data streams.• Familiarity with big data storage solutions such as HDFS, Amazon S3, or Azure Data Lake Storage.• Knowledge of big data processing frameworks such as Apache Hive, Apache Pig, or Apache Impala.• Lead and manage a team of professionals to achieve organizational goals.• Provide guidance, support, and mentorship to help employees grow and develop professionally and focus on Career Management. Location- GurgaonMin yrs of exp- 6.5Yrs

Profile Brief: We are seeking a seasoned Architect with deep expertise in cloud-based data platforms to spearhead a high-impact project for a wealth management client. This role involves leading the setup of a Snowflake environment, creating and managing ingestion pipelines, data modeling, and orchestrating a Data Vault Architecture. The ideal candidate will possess strong leadership skills, technical acumen, and a proven track record in delivering data engineering solutions, particularly in the financial services sector. Education: Bachelors/Masters (Engineering)/MBA from a top-tier university Experience: 12+ years of experience in Data Technology/Cloud computing, with a focus on data platforms and financial services. Job Description Problem Solving:<ul><li>Strong problem-solving skills, capable of translating business needs into comprehensive data platform solutions.</li><li>Ability to analyze complex financial data and metrics, influencing business and technical stakeholders.</li><li>Structured and analytical approach to problem-solving, with experience in financial data modeling.</li></ul> Data Engineering/Big Technical Prowess:<ul><li>Extensive experience with cloud-based data platforms, particularly Snowflake.</li><li>Proven expertise in setting up and managing Snowflake environments, including Snowpipe and HVR for data ingestion.</li><li>Strong data modeling skills, with the ability to create topical models representing entity structures in financial contexts.</li><li>In-depth understanding of Data Vault Architecture and its application in data sourcing to consumption.</li><li>Proficient in AWS services for data engineering, including S3, EC2, Lambda, RDS, Kinesis, and Glue.</li><li>Strong command over ETL processes and data pipeline design, particularly in a cloud environment.</li><li>Proficiency in programming languages such as Python, Scala, and SQL.</li><li>Experience with CI/CD pipelines using tools like Git, Jenkins, and AWS CodePipeline.</li></ul> Team Management<ul><li>Proven ability to manage and nurture high-performance teams.</li><li>Lead initiatives within the team and department, enabling teammates to achieve career milestones.</li><li>Manage and mentor direct reports via 1:1s and other means.</li><li>Provide coaching to direct reports on their career development plans.</li><li>Review and manage direct reports’ performance and conduct annual performance reviews.</li><li>Provide leadership in difficult situations, facilitate contentious discussions, and report up when necessary.</li></ul> Additional Qualifications<ul><li>Strong technical background deploying solutions on AWS,</li><li>Designing analytics-driven applications: Highly-Available, Fault-tolerant, real-time.</li><li>Proven large-scale project execution in Agile SDLC.</li><li>Excellent Written and Oral Communication Skills.</li><li>Strong client & stakeholder management.</li><li>Technical Documentation proficiency.</li><li>Self-motivated and multitasking under tight timelines.</li><li>Ownership of company, organizational, and team-level goals.</li><li>Team leadership and mentoring skills.</li><li>Familiarity with wealth management or asset management domain.</li><li>Exposure to financial data and regulatory considerations in wealth management.</li></ul>

Role Description: Data Engineer – Big DataThe ideal candidate is a hands-on technology developer with experience in developing scalable applications and platforms. They must be at ease working in an agile environment with minor supervision. The person should be a self-motivated person with a passion for problem-solving and continuous learning. Primary Skills: Azure Cloud, Azure Data Factory, ADLS GEN2, Spark, PySpark, Scala, Hive, Databricks, PythonSecondary Skills: Azure Synapse, ETL, Shell Script, Unix, Azure functions, Git Designation: Sr. Data Engineer: 4-8 Years Location- Only Chennai and need only local candidates(No other location)Notice period- Immediate to 30DaysWork mode- All 5 days WFO (ODC model)Shift timing - 1PM - 10 PM Shift

Role Description:As a Senior Cloud Data Platform (Databricks) Engineer at Incedo, you will be responsible for managing and optimizing the Databricks environment, ensuring its performance, scalability, and security. You will work closely with data analysts and data scientists to develop data pipelines and run data science experiments. You will be skilled in big data technologies such as Spark and have experience with cloud computing platforms such as AWS or Azure. You will be responsible for configuring and optimizing the Databricks environment, ensuring that data pipelines are efficient and accurate, and troubleshooting any issues that arise. You will also work with the security team to ensure that the Databricks environment is secure and complies with relevant regulations.Roles & Responsibilities:

The ideal candidate is a self-motivated, multi-tasker, and demonstrated team-player. You will be a lead developer responsible for the development of new software products and enhancements to existing products. You should excel in working with large-scale applications and frameworks and have outstanding communication and leadership skills. Responsibilities<ul><li>Very good understanding of Data structures, C.</li><li>Very good programming and debugging skills on Linux.</li><li>Very good understanding of network programming using C.</li><li>Very good communication skills. Understanding of embedded systems. Should have worked on embedded device development</li><li>Hands on experience on Networking Products – Router, Switches, Gateways.</li><li>Security (Firewall, VPN, ACL, NAT, IPsec, IPS/IDS, DPI for DNP3/MODBUS, DOS, PKI , SSL)</li><li>Proficiency with development tools such as GCC, GDB, Make, and version control systems like Git.</li><li>Management Interfaces such as SNMP, Web, Yang, Netconf, Rest Based Interfaces etc.</li></ul> Qualifications <ul><li>Bachelor's degree in Computer Science (or related field)</li><li>3+ years of relevant work experience</li><li>Expertise in Object Oriented Design, Database Design, and XML Schema</li><li>Experience with Agile or Scrum software development methodologies</li><li>Ability to multi-task, organize, and prioritize work</li></ul>

Designation: Sr. Data Engineer / Lead Data EngineerExperience: 4-8 Years Job Location: ChennaiWork From Office: 5 Days work from officeQualifications: B.Tech./M.Tech. or BCA/MCA degree from a reputed university Primary Skills: Azure Cloud, Azure Data Factory, ADLS GEN2, Spark, PySpark, Scala, Hive, Databricks, PythonSecondary Skills: Azure Synapse, ETL, Shell Script, Unix, Azure functions, Git Overall Technical skills requirementsThe candidate must demonstrate proficiency in: <ul><li>Big data processing and extraction</li><li>Ability to own and deliver on large, multi-faceted projects</li><li>Fluency in complex SQL and experience with RDBMSs (Azure Cloud, Spark, PySpark, Scala, Python, Hive, NoSql DBs)</li><li>Experience designing and building big data pipelines</li><li>Experience working on large-scale, distributed systems</li><li>Hands-on Experience working on Azure Cloud services like (Azure Data Factory, Databricks, ADLS, Azure HD Insights,Azure Synapse, Azure Data Warehouse)</li><li>Strong hands-on experience in programming languages like PySpark, and Scala with Spark, Python, Shell Script</li><li>Exposure to various ETL and Business Intelligence tools</li><li>Solid grounding in Agile methodologies</li><li>Experience with git and other source control systems</li><li>Strong communication and presentation skills</li></ul>

About the Company: <a>#Hiring</a> Alert!! We are hiring a Java Developer in our team based out in Chennai. Please share your profiles at the earliest on the below email id if you are looking for a change: anshika.arora@incedoinc.com Walk-in Drive on 31st Aug at Chennai Office: 02, RMZ MILLENIA BUSINESS PARK, Block 3B, 07th Floor, 11, MGR Main Rd, Kandhanchavadi, Perungudi, Chennai, Tamil Nadu 600096 About the Role: Company: INCEDORole: Java AWS DeveloperMandatory skills: Java, Spring boot, Microservices, Docker/Kubernetes, Nosql/MongoDB, AWS, LinuxExperience: 3-8 yrsLocation: ChennaiWork mode: HybridNotice period: Immediate Joiners are preferred Role Description: As a Senior Software Engineer - Java Backend (Java BE) at Incedo, you will be responsible for developing and maintaining backend applications using Java technologies. You will be expected to have a strong understanding of Java and its related frameworks, including Spring, Hibernate, and RESTful APIs. You should also have experience in developing and maintaining databases using SQL and NoSQL technologies. Roles & Responsibilities: <ul><li>Writing high quality code, participating in code reviews, designing systems of varying complexity and scope, and creating high quality documents substantiating the architecture.</li><li>Engaging with clients, understanding their technical requirements, planning and liaising with other team members to develop technical design & approach to deliver end-to-end solutions.</li><li>Mentor & guide junior team members, review their code, establish quality gates, build & deploy code using CI/CD pipelines, apply secure coding practices, adopt unit-testing frameworks, provide better coverage, etc.</li><li>Responsible for team’s growth.</li></ul> About Incedo: Incedo is a technology consulting and services company that focuses on delivering innovative solutions to transform businesses. With expertise in digital engineering, data science, and analytics, Incedo helps organizations accelerate their digital transformation journey. #walkindrive #javadeveloper #chennai #hiring

The ideal candidate will be responsible for developing high-quality applications. They will also be responsible for designing and implementing testable and scalable code. Job Description: <ul><li>Must have experience in Java, Springboot with JBPM or Camunda or RHPAM</li><li>Develop quality software and web applications</li><li>Analyze and maintain existing software applications</li><li>Design highly scalable, testable code</li><li>Discover and fix programming bugs</li></ul>Location: Chennai/hyderabadExperience: 5-7 yrs

Lead Data Engineer- data vault Job Location: Atlanta, GA/Encino, CA (Hybrid) Role Description:As a Senior Technical Lead –Data Modeling at Incedo, you will be responsible for managing and optimizing the data infrastructure, including data modeling and data warehouse solutions using the Data Vault methodology, ensuring its performance, scalability, and security. You will be skilled in cloud computing platforms such as AWS, Azure, GCP and. You will be responsible for configuring and optimizing the Azure environment, ensuring that data pipelines are efficient and accurate, and troubleshooting any issues that arise. You will also work with the security team to ensure that the Azure environment is secure and complies with relevant regulations.Roles & Responsibilities:<ul><li>Lead the design and implementation of scalable and efficient data models using the Data Vault methodology.</li><li>Design and develop data pipelines and ETL processes to extract, transform, and load data into the data warehouse from various source systems.</li><li>Work closely with data architects, business analysts, and other stakeholders to understand business requirements and translate them into technical solutions.</li><li>Optimize data infrastructure and ETL processes for performance, scalability, and reliability.</li><li>Ensure data quality and integrity across all data processes and systems.</li><li>Lead and mentor a team of data engineers, providing technical guidance and oversight.</li><li>Collaborate with IT teams to ensure seamless integration of data systems and applications.</li><li>Stay abreast of industry trends and best practices in data engineering, data modeling, and Data Vault methodology.</li><li>Create and maintain documentation for data models, ETL processes, and data infrastructure architecture.</li><li>Troubleshoot and resolve complex data-related issues in a timely manner.</li></ul>Skills Requirements:<ul><li>Bachelor’s degree in Computer Science, Information Systems, or a related field; Master’s degree preferred.</li><li>Proven experience as a Lead Data Engineer or similar role, with expertise in Data Modeling and Data Vault methodology.</li><li>Strong proficiency in SQL and experience with database management systems (e.g., SQL Server, Oracle, PostgreSQL).</li><li>Hands-on experience with data modeling tools (e.g., ER/Studio, ERwin) and ETL tools (e.g., Informatica, Talend, Apache Spark).</li><li>Solid understanding of data warehousing concepts, ETL processes, data integration, and data storage.</li><li>Experience in designing and optimizing data pipelines and ETL processes for large-scale data sets.</li><li>Excellent leadership and team management skills, with the ability to motivate and mentor team members.</li><li>Strong analytical and problem-solving skills, with attention to detail and accuracy.</li><li>Excellent communication and interpersonal skills, with the ability to effectively collaborate with stakeholders at all levels.</li></ul>

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