- Lead Data Engineering, data platform teams in developing solutions.
- Lead the design for database and data pipeline/ETL using existing and emerging technologies and tools.
- Drive the team to develop operationally efficient analytic solutions.
- Manage multiple teams and projects.
- Define standards, methodologies for Data Management environment.
- Design and build data models on RDBMS like SQLServer, Mysql as well as MPP platform like SPARK, BigQuery to provide efficient reporting and analytics, platform capability.
- Design and build highly scalable data pipelines using new generation tools and technologies like Spark, Nifi to induct data from various systems .
- Translate complex business requirements into scalable technical solutions meeting data warehousing design standards. Solid understanding of analytics needs and proactive-ness to build generic solutions to improve the efficiency.
- Lead/Work with many global clients, communicate effectively, both written and verbal, with technical and non-technical multi-functional teams.
- Lead and mentor people and plan their career growth and focus on creating a cohesive team environment.
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