Lead Data Pipeline Engineer

Job Summary :

We are seeking an experienced Data Engineer with strong expertise in AWS cloud services and Databricks to design and implement scalable, high-performance data pipelines. The role involves building and optimizing ETL / ELT workflows, managing big data environments, and ensuring seamless data availability for analytics, AI / ML, and business intelligence use cases.

Key Responsibilities :

• Design, develop, and maintain data pipelines and workflows using AWS (S3, Redshift, Glue, EMR, Lambda, Kinesis, Athena) and Databricks .
• Build and optimize ETL / ELT processes for large-scale structured and unstructured datasets.
• Leverage Databricks for data engineering, advanced analytics, and machine learning workloads.
• Collaborate with data scientists, analysts, and stakeholders to deliver reliable and scalable data solutions.
• Implement data governance, quality checks, and monitoring frameworks .
• Ensure high availability, scalability, and cost-effectiveness of data solutions.

Required Skills :

Preferred Qualifications :