1. 8-12 years of overall experience in data engineering and architecture
2. Hands-on expertise implementing and managing data quality (using tools like IDQ), Data Governance (using tools like Azure Purview), cataloguing, and metadata management
3. Experience with cloud platforms like AWS, Azure, and GCP for big data solutions
4. Knowledge of data monitoring (using tools like Datadog) and data-centric cost optimization in cloud
5. Delivered projects involving large-scale data lakes, warehouses (Snowflake/Redshift), and data pipelines.
6. Design and develop reliable ETL pipelines leveraging services like Informatica, AWS Glue, etc.
7. Define and implement data governance framework policies, metrics, audits, and processes.
8. Continuously monitor data health metrics across - availability, quality, lineage
9. Identify opportunities for optimal data architecture and build technical roadmaps.
10. Lead teams to engineer scalable data platforms and reliable data pipelines.
11. Consult with stakeholders and oversee technical delivery and solutions.
12. Stay updated on latest data technologies and introduce where appropriate.
13. Coach and mentor junior data engineers in the team
14. Promote data democratization through advanced analytics and ML integration.
15. Strong written and verbal communication with both business and technical teams
What youll bring
Keyskills: advanced analytics GCP Equity data governance Data quality Informatica Subject Matter Expert Cost optimization Recruitment Data architecture
Hitachi Vantara, a wholly owned subsidiary of Hitachi, Ltd., helps data-driven leaders use the value in their data to innovate intelligently and reach outcomes that matter for business and society - what we call a double bottom line. Only Hitachi Vantara combines 100+ years of experience in operatio...