Interview Mode : 1st Round Virtual and 2nd Round will be Face to Face
Work Mode : Hybrid
Notice Period : Immediate to join Max 15 Days
Summary :
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).
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