Data Engineer with AWS Databrick

Work Mode: Hybrid (3 days WFO)
Locations: Bangalore, Noida, Pune, Mumbai, Hyderabad (Candidates must be in Accion cities to collect assets and attend in-person meetings as required).Key Requirements:Technical Skills:Databricks Expertise:5+ years of hands-on experience in data engineering/ETL using Databricks on AWS/Azure cloud infrastructure.Proficiency in Delta Lake, Unity Catalog, Delta Sharing, Delta Live Tables (DLT), MLflow, and Databricks SQL.Experience with Databricks CI/CD tools (e.g., BitBucket, GitHub Actions, Databricks CLI).Data Warehousing & Engineering:Strong understanding of data warehousing concepts (Dimensional, SCD2, Data Vault, OBT, etc.).Proven ability to implement highly performant data ingestion pipelines from multiple sources.Experience integrating end-to-end Databricks pipelines to ensure data quality and consistency.Programming:Strong proficiency in Python and SQL.Basic working knowledge of API or stream-based data extraction processes (e.g., Salesforce API, Bulk API).Cloud Technologies:Preferred experience with AWS services (e.g., S3, Athena, Glue, Lambda).Power BI:3+ years of experience in Power BI and data warehousing for root cause analysis and business improvement opportunities.Additional Skills:Working knowledge of Data Management principles (quality, governance, security, privacy, lifecycle management, cataloging).Nice to have: Databricks certifications and AWS Solution Architect certification.Nice to have: Experience with building data pipelines from business applications like Salesforce, Marketo, NetSuite, Workday, etc.Responsibilities:Develop, implement, and maintain highly efficient ETL pipelines on Databricks.Perform root cause analysis and identify opportunities for data-driven business improvements.Ensure quality, consistency, and governance of all data pipelines and repositories.Work in an Agile/DevOps environment to deliver iterative solutions.Collaborate with cross-functional teams to meet business requirements.Stay updated on the latest Databricks and AWS features, tools, and best practices.Work Schedule:Regular: 11:00 AM to 8:00 PM.Flexibility is required for project-based overlap.Interested candidates should share their resumes with the following details:Current CTCExpected CTCPreferred Location: Bangalore, Noida, Pune, Mumbai, HyderabadNotice PeriodContact Information: