
Data Engineering Expert
2 weeks ago
Job Title: Senior Technical Lead
Role Overview:
The Senior Technical Lead will be responsible for leading a team of technical professionals in designing, developing, and supporting multiple data engineering projects with heterogeneous data sources.
Key Responsibilities:
- Architect and design 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 and enhance the in-house built Data Integration Framework, Data Replication Framework, Data Profiling & Reconciliation Framework.
- Support, enhance, and lead data engineering initiatives, infrastructure, and 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.
- Provide direction and guidance to a team of 2 or more - solving problems and resolving conflicts.
Requirements:
- 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 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.
Work Timings: 2 PM to 11 PM IST
Location: Navi Mumbai, India
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