We are seeking a highly skilledSenior Data Engineerwith 8–15 years of experience in designing, developing, and implementing enterprise-scale data solutions. The ideal candidate will possess strong expertise inSnowflakeand hands‑on experience withPython, PySpark, AWS, and Airflowfor building scalable, high-performance data platforms. The role demands strong technical leadership, problem‑solving capabilities, and the ability to collaborate effectively with cross‑functional teams to deliver robust data engineering solutions.

Key Responsibilities

• Design, develop, and optimize data pipelines and data modelsusing Snowflakefor enterprise analytics and reporting


• Write and optimize complex SQL / PL‑SQL queries, procedures, and transformationsto support large‑scale data processing


• Build and optimize enterprise data warehouse solutions on Snowflake.


• Develop data ingestion, transformation, and orchestration workflows using Python, PySpark, and Airflow.


• Develop and optimize complex SQL queries, stored procedures, views, streams, and tasks in Snowflake.


• Implement scalable cloud‑based data solutions leveraging AWS services.


• Ensure data quality, governance, security, and compliance across the data platform.


• Perform query tuning, performance optimization, and cost optimization within Snowflake.


• Automate deployment and monitoring through CI/CD and DevOps practices.


• Collaborate with business stakeholders, architects, analysts, and engineering teams to translate business requirements into technical solutions.


• Troubleshoot production issues and implement preventive measures to enhance platform reliability.

Preferred Experience

• Experience in large‑scale cloud data migration initiatives.


• Strong understanding of enterprise data architecture and modern data platforms.


• Experience working with structured, semi‑structured, and unstructured data.


• Exposure to Banking, Financial Services, or other large enterprise environments will be an added advantage.


• Experience in leading technical discussions and mentoring engineering teams.