Senior Technical Lead

Position: Tech Lead

• 10+ 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.

Desirable:

• 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.

Roles & Responsibilities:

• 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 APIs.
• 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.