Senior Consultant | Azure Data Engineer | Bengaluru | Engineering | Data Modernization & Migration
Deloitte (company site, opens in a new tab)5–9 yrsBengaluruOn-siteDirect career pageEst. 18–32 LPA
Posted on 13 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain scalable data pipelines using Databricks (PySpark, Spark SQL), Azure Data Factory, and other Azure data services.
- Optimize data workflows for performance, implement ETL/ELT processes, and ensure data integrity and availability for analytics and BI.
- Collaborate with data scientists, analysts, and DevOps teams to deliver and deploy data solutions and maintain documentation of data architecture and workflows.
Minimum Requirements
- 5 to 9 years of experience in data engineering focused on Azure and Databricks.
- Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field.
- Proficiency in Databricks (including Serverless SQLWH, Unity Catalog, Lakehouse, Medallion Architecture) and Azure Data Services (Azure Data Factory, Data Lake Storage, SQL Database, Key Vault).
- Strong expertise in writing and optimizing complex SQL queries and using PySpark for data processing; relevant certifications are a plus.
Ideal Candidate Profile
- Experienced in building and optimizing enterprise-scale data pipelines on Azure cloud and Databricks platforms.
- Strong technical operator comfortable with complex ETL/ELT workflows, data governance, and performance tuning.
- Capable of cross-functional collaboration with data science, analytics, and DevOps teams in a fast-paced, production environment.