A technical lead responsible for designing robust data architectures and high-performance backend systems. Expert in multi-cloud environments, ensuring data reliability, security, and seamless integration with enterprise applications.

Key Responsibilities :

- Architect end-to-end data platforms on Snowflake and Databricks.

- Design complex backend architectures using Python, Pyspark and SQL to support data-heavy applications.

- Lead the migration or integration of data across AWS and Azure ecosystems.

- Implement CI/CD patterns and DataOps to automate deployment and monitoring.

- Mentor junior engineers and set coding standards for SQL and Python development.

- Be part of Presales activities in estimating Development and infra cost for data engineering pipelines and showcase data engineering capabilities of COE team.

Technical Skills :

- Languages : Expert Python (Asynchronous programming, Design Patterns), Advanced SQL (Optimization, Window Functions).

- Data Platforms : Databricks (Unity Catalog, Medallion Architecture), Snowflake (Snowpipe, Streams).

- Cloud : AWS (Glue, Redshift, IAM) and Azure (ADF, Synapse, Event Hubs).

- Backend/DevOps : Docker, Kubernetes, Terraform, and API security (OAuth).