Description
- 7+ years of experience using Data Integration Tools - Pentaho, Talend Or any other ETL/ELT tools.
- 7+ years of experience using traditional databases like Postgres, MSSQL, Oracle
- 4+ years of experience using MPP databases like Vertica, Google BigQuery, Amazon Redshift
- 3+ years of experience in creating Entity-Relationship & Dimensional Data Model.
- 2+ years of experience in Scheduler/Orchestration Tools Like Control-M, Autosys, Airflow, JAMS
- 2+ years of experience in leading a team of 2 or more
- Strong implementation experience with ETL/ELT Strategies - determining heavy lifting of data using Push Down Or Push Up methods.
- Strong infrastructure architecture/administration knowledge on ELT/ETL Tools - Memory Management, Resource Management, User/Role Management, Performance improvement.
- Strong implementation or working experience in any Code Versioning Tools
- Strong communication and documentation skills.
- Experience in collaborating with multiple business units like Finance, Marketing, Sales
- Experience of working in Agile Delivery Model.
- Experience in Data Visualization Tools like Tableau, Pentaho BA Tools.
- Experience on the Hadoop ecosystem - Programmed or worked with key data components such as HIVE, Spark and Sqoop moving and processing terabyte level of data.
- Digital Marketing/Web analytics or Business Intelligence a plus.
- Understanding of Ad stack and data (Ad Servers, DSM, Programmatic, DMP, etc).
- Knowledge of scripting languages such as Perl or Python.
- Experience in the Linux environment is preferred but not mandatory.
- Architect/Design, 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 & Enhance in-house build Data Integration Framework, Data Replication Framework, Data Profiling & Reconciliation Framework.
- Support, Enhance & Lead Data Engineering Initiatives, Infrastructure & Architecture.
- Engage/establish best standard practices with third party data providers.
- Translate complex technical subjects into terms that can be understood by both technical and non-technical audiences.
- Providing direction and guidance to a team of 2 or more - solving problems and resolving conflicts.

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