About the role
ACL Digital is Hiring for Lead Data Engineer
Experience : 9-13 Years
Notice Period : Immediate
Job Location : Bangalore ( Client Location)
Interview Mode : L1 and L2 Virtual.
We are seeking an experienced Databricks Data Engineer with strong AWS expertise to design, build, optimize, and support enterprise-scale data pipelines and Data Products. The engineer will be responsible for developing scalable Lakehouse solutions on AWS and Databricks, implementing Bronze/Silver/Gold data architectures, ensuring data quality, and enabling trusted analytics and AI-ready data assets across the enterprise.
The ideal candidate will possess strong hands-on experience with Databricks, PySpark, Delta Lake, AWS data services, CI/CD automation, and modern data engineering practices.
Key Responsibilities
Data Pipeline Development
Design, develop, and maintain scalable ETL/ELT pipelines using Databricks and AWS.
Build and support Bronze, Silver, and Gold layer data pipelines.
Develop reusable ingestion and transformation frameworks.
Implement incremental processing using CDC, checkpoints, and watermarking techniques.
6+ years of Data Engineering experience.
3+ years of Databricks experience.
3+ years of AWS Data Platform experience.
Experience supporting enterprise-scale analytics or Data Product initiatives.
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