BigData Developer

Key responsibilities (please specify if the position is an individual one or part of a team): The role requires a hands-on technologist with expertise in Data Engineering with solid programming background in Hadoop/Hive/Sparks/Scala Should have hands-on knowledge on GCP cloud platforms. Role &

Responsibilities: 1. Provide technical leadership and hands-on implementation role in the areas of data engineering including data ingestion, data access, modelling, data processing, design and implementation 2. Lead a team to deliver high quality solutions on GCP Cloud. Manage functional & non-functional scope and quality.

3. Help establish standard data practices like governance and address other non-functional issues like data security, privacy and quality 4. Participate in workshops with clients and align client stakeholders to optimal solutions.

- Supervisory / Managerial responsibilities (please specify if the position will have persons reporting to it): · Provide technical leadership and hands-on implementation role in the areas of data engineering including data ingestion, data access, modelling, data processing, design and implementation · Lead a team to deliver high quality solutions on GCP Cloud. · Participate in workshops with clients and align client stakeholders to optimal solutions.
- Other responsibilities – Budgets, targets,



equipment etc (please specify): None

Key Skills/Knowledge: · Mandatory Experience and Competencies: · Mandatory to have knowledge of Big Data Architecture Patterns and experience in delivery of BigData and Hadoop Ecosystems. · Should have experience in SQL/Data Warehouse · Expert in programming languages like Java, Hadoop, Scala · Expert in at least one distributed data processing frameworks: like Spark (Core, Streaming , SQL), Storm or Flink etc. · Should have worked on any of Orchestration tools – Oozie , Airflow , Ctr-M or similar, Kubernetes. · Worked on Performance Tuning, Optimization and Data security · Preferred Experience and Knowledge: · Excellent understanding of data technologies landscape / ecosystem. · Good Exposure in development with CI / CD pipelines. Knowledge of containerization, orchestration and Kubernetes engine would be an added advantage. · Well versed with pros and cons of various database technologies like Relational, BigQuery, Columnar databases, NOSQL · Exposure in data governance, catalog, lineage and associated tools would be an added advantage. · Well versed with SaaS, PaaS and IaaS concepts and can drive clients to a decisions · Certification in at least one of the cloud platforms (GCP/AWS/Azure)

📌 Big Data Developer _TCS (Chennai)
🏢 TalentOla
📍 Chennai