Data Engineering Lead - Snowflake DB

Position : Data Engineering Lead

Experience : 915 Years

Location : PAN India

Job Summary :

We are seeking a highly skilled and experienced Data Engineering Lead with 9 to 15 years of hands-on expertise in AWS and Snowflake. The ideal candidate will be a solution-oriented professional capable of designing, developing, and delivering scalable data engineering solutions. This role requires deep knowledge of end-to-end data architectures, layered data processing frameworks, and a strong ability to optimize data pipelines, with a preference for candidates with experience in the telecommunications industry.

Key Responsibilities :

• Design, develop, and maintain scalable data architectures and robust pipelines for large-scale data platforms.
• Build and optimize data lakes to unify both structured and unstructured data sources, ensuring accessibility and performance.
• Implement real-time and batch data processing using advanced Snowflake features like Streams, Tasks, and Snowpipe.
• Utilize a wide range of AWS services including EC2, Glue, Lambda, S3, Athena, and MWAA for efficient data integration, processing, and analytics.
• Develop and manage PySpark and Python-based workflows for scalable transformations and automation.
• Perform complex data modeling, performance tuning, and optimization within the Snowflake environment.
• Collaborate with cross-functional teams to deliver end-to-end data engineering solutions aligned with critical business goals.

Required Skills & Qualifications :

(ref : hirist.tech)