Data Engineer (Azure & Databricks)
Techila Global Services (company site, opens in a new tab)10–12 yrsBengaluruOn-siteDirect career pageEst. 25–40 LPA
Posted 20h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead design and implementation of scalable Enterprise Data Warehouse and Data Lakehouse architectures on Azure using Databricks and Delta Lake.
- Build and optimize ETL/ELT pipelines using Python, PySpark, and Azure Data services to ingest and transform large data volumes.
- Lead migration of legacy Enterprise Data Warehouse workloads to modern Azure/Databricks cloud platforms and mentor data engineering teams.
Minimum Requirements
- 8 to 10 years of experience in Data Engineering, Business Intelligence, or Enterprise Data Warehousing.
- Strong expertise in Azure Data ecosystem including Azure Data Factory (ADF), Azure Data Lake Storage (ADLS Gen2), and Azure SQL/Synapse.
- Proficient in Python programming and Databricks (4+ years of hands-on with Apache Spark and Delta Lake).
- Expert-level SQL skills and experience with data modeling concepts (Kimball, Inmon, Data Vault).
Ideal Candidate Profile
- Technically strong leader capable of designing large-scale cloud data architectures and leading complex cloud migration projects.
- Experience working closely with enterprise architects, data scientists, and business stakeholders to align data infrastructure with business goals.
- Experienced at enforcing engineering best practices including CI/CD, automated testing, and team mentorship in data engineering environments.