Data Engineer

Position Requirement:

• 4+ years of experience using Data Integration Tools - Pentaho Or any other ETL/ELT tools.

• 4+ years of experience using traditional databases like Postgres, MSSQL, Oracle

• 1+ years of experience using Columnar databases like Vertica, Google BigQuery, Amazon Redshift

• 1+ years of experience in Scheduler/Orchestration Tools Like Control-M, Autosys, Airflow, JAMS

• Good conceptual knowledge on ETL/ELT Strategies.

• Good conceptual knowledge in any Code Versioning Tools

• Good collaboration, communication and documentation skills.

• Experience of working in Agile Delivery Model.

• Requires minimal or no direct supervision

• Good knowledge in Data Visualization Tools like Tableau, Pentaho BA Tools.

• Digital Marketing/Web analytics or Business Intelligence a plus.

• Knowledge of scripting languages such as Python.

• Experience in the Linux environment is preferred but not mandatory.

Roles & Responsibilities:

• Develop & Support multiple Data Engineering projects with heterogeneous data sources,

produce/consume data to/from messaging queues like Kafka, push/pull data to/from REST API’s.

• Support in-house build Data Integration Framework, Data Replication Framework, Data Profiling &

Reconciliation Framework.

• Develop Data Pipelines with good coding standards, unit testing with detailed test cases.

• Willingness to learn new technologies.

Qualification: B.E. Computer Science/IT degree (or any other engineering discipline)

Work Timings: 2 PM to 11 PM IST