- Senior
- Bureau à Hyderabad
About the Role
We are hiring a Senior Manager to lead data engineering and infrastructure optimization efforts focused on retail warehousing systems, cloud platforms (Azure/GCP), and business analytics. This role blends deep technical knowledge with strong people leadership, platform strategy, and an understanding of reporting needs across operations.What You'll Do
- Lead data engineering teams responsible for building and maintaining cloud-based data pipelines and infrastructure
- Drive infrastructure performance and cost optimization using Azure and/or GCP platforms
- Manage data quality, access controls, and cataloging using tools like Unity Catalog or similar
- Collaborate with warehouse, supply chain, and BI teams to deliver reliable data for analytics and reporting
- Oversee annual performance management, career development, and mentoring for team members
- Ensure platform stability, scalability, and observability for 24x7 operations
- Support modernization of legacy systems into cloud-native stack
- Align closely with product managers and analysts to prioritize data product delivery
- Contribute to finops practices, cloud usage tracking, and spend optimization
Who You Are
- 4–7 years of experience in Data Engineering or related roles, with overall 12+years experience
- Hands-on experience with cloud-based platforms:
- Azure: Databricks, PySpark, Data Lake, ADF
- Or equivalent GCP stack: BigQuery, Dataflow, Composer, etc.
- Proficiency in Python, Linux scripting, and building scalable data pipelines.
- Familiarity with relational/non-relational databases, data streams, and file stores.
- Experience with version control and CI/CD tools (GitHub, Jenkins).
- Graduate degree in Computer Science or equivalent.
Good-to-Have Skills
- Experience with BI/reporting tools (Power BI, MicroStrategy).
- Familiarity with enterprise integration patterns and data governance.
- Exposure to DevOps practices, monitoring, and observability.
- Strong collaboration and communication skills in cross-functional teams.
