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 Desirable: 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.