Job Title: Lead Data Engineer
Experience: 5+ Years
Location: Remote (Anywhere in India)
Employment Type: Full-time
About the Role
We are seeking a Lead Data Engineer with 5+ years of hands-on experience designing and building scalable, reliable data platforms and pipelines. The ideal candidate will have strong technical expertise across the contemporary data stack, experience owning data engineering initiatives end-to-end, and the ability to translate business and analytical requirements into robust data solutions.
You will be responsible for architecting, designing, and delivering data engineering solutions, while also mentoring engineers and driving best practices across data architecture, data quality, governance, and performance.
This is a hands-on technical leadership role where you will work closely with Product, Engineering, Analytics, and Business stakeholders to build a scalable data foundation that supports reporting, analytics, and self-service BI.
Key Responsibilities
Design, develop,



and manage scalable ETL/ELT pipelines for structured and unstructured data using AWS services such as AWS Glue, Redshift, S3, Athena, Lambda, and Kinesis/Kafka.
Architect and implement data lake and data warehouse solutions, following best practices for data modeling, governance, scalability, and performance.
Own the technical design and end-to-end delivery of data engineering initiatives.
Develop robust data models and pipelines that support analytics, reporting, and business intelligence use cases.
Drive data pipeline automation, orchestration, monitoring, and observability using tools such as Apache Airflow and AWS Step Functions.
Enable self-service analytics by designing and curating data models and semantic layers that empower product owners and business users to build their own visualizations using Generative BI tools such as ThoughtSpot, QuickSight Q, or similar platforms.
Optimize data pipelines, queries, and warehouse performance to ensure scalability, reliability, and

📌 Lead Data Engineer (India)
🏢 Eltropy
📍 India