Senior Data Engineer

We are seeking a highly skilled Senior Data Engineer with 8–15 years of experience in designing, developing, and implementing enterprise-scale data solutions.

The ideal candidate will possess strong expertise in Snowflake and hands-on experience with Python, PySpark, AWS, and Airflow for 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.

• Design, develop, and optimize data pipelines and data models using Snowflake for enterprise analytics and reporting
• Write and optimize complex SQL / PL‑SQL queries, procedures, and transformations to 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.

• Experience in large-scale cloud data migration initiatives.