About this opportunity
Location - Pune / Qualification - BE (Computer, IT) / Company sector - Technical Sector
Design, developing and maintaining the data architecture, data models and standards for various Data Integration & Data Warehousing projects in GCP cloud, combined with other technologies
Ensure the use of Big Query SQL, Java/Python/Scala and Spark reduces lead time to delivery and aligns to overall group strategic direction so that cross-functional development is usable
Ownership of technical solutions from design and architecture perspective, ensure the right direction and propose resolution to potential data pipeline-related problems.
Expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams.
Provide technical guidance and support to a vibrant engineering team. Coaching and teaching your
teammates how to do great data engineering.
A deep understanding of data architecture principles and data warehouse methodologies specifically
Kimball or Data Vault.
Design, developing and maintaining the data architecture, data models and standards for various Data Integration & Data Warehousing projects in GCP cloud, combined with other technologies
Ensure the use of Big Query SQL, Java/Python/Scala and Spark reduces lead time to delivery and aligns to overall group strategic direction so that cross-functional development is usable
Ownership of technical solutions from design and architecture perspective, ensure the right direction and propose resolution to potential data pipeline-related problems.
Expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams.
Provide technical guidance and support to a vibrant engineering team. Coaching and teaching your
teammates how to do great data engineering.
A deep understanding of data architecture principles and data warehouse methodologies specifically
Kimball or Data Vault.
About the company
H* M * V * R *