Job
Description
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 CTC Expected CTC Preferred Location: Bangalore, Noida, Pune, Mumbai, Hyderabad Notice Period Contact Information:
