Overview
Lead Data Engineer role focused on designing and delivering scalable data platforms, pipelines, and data foundations for analytics and self-service BI.
What you'll do
- Design and manage scalable ETL/ELT pipelines for structured and unstructured data.
- Architect data lake and data warehouse solutions with governance, scalability, and performance best practices.
- Own end-to-end technical design and delivery of data engineering initiatives.
- Automate and orchestrate data pipelines with monitoring and observability tooling.
- Enable self-service analytics via data models and semantic layers for visualization tools.
- Optimize pipeline, query, and warehouse performance for scalability, reliability, and cost efficiency.
- Establish standards for data quality, integrity, security, governance, and compliance.
What you'll need
- 5+ years of professional experience in Data Engineering with ownership of complex projects.
- Strong proficiency in Python and SQL.
- Hands-on experience with ETL/ELT frameworks and orchestration tools (AWS Glue, Apache Airflow, AWS Step Functions).
- Experience with AWS data stack tools including S3, Glue, Redshift, Athena, Lambda, and Kinesis/Kafka.
- Experience designing and implementing data lakes, data warehouses, and scalable data pipelines.
- Strong understanding of data modeling, dimensional modeling, and database design.
- Experience with Spark/PySpark and/or EMR for large-scale processing.
Details
- Employment type: Full-time.
- Work mode: Remote (Anywhere in India).
- Location: India.
Read the full description and apply on the company’s own careers page.
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