Key Skills:

• Hands-on experience with Python, SQL, Spark

• Expertise in ETL/ELT pipeline design and data warehousing (Snowflake / Redshift / BigQuery)

• Cloud experience (AWS / Azure / GCP)

• Strong knowledge of data modeling, partitioning, performance tuning

• Exposure to CI/CD, Docker, Kubernetes is a plus

Responsibilities:

• Build and maintain high-performance data pipelines and architectures

• Collaborate with data scientists, analysts, and business teams to ensure data availability and quality

• Implement best practices for data governance, quality, and security

• Optimize workflows for scalability and cost-efficiency

• Support real-time and batch processing requirements