Sr.Data Engineer
Robert Bosch GmbH (company site, opens in a new tab)4–6 yrsBengaluruOn-siteDirect career pageEst. 12–20 LPA
Posted on 8 Sept
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Job description
Structured overview of role & requirements
About This Role
- Develop and manage Azure Data Factory pipelines for ETL processing including copy activity and custom Azure development.
- Handle data engineering tasks using Azure Databricks, ADF, Delta Lake, and related Azure data services to support data lake, data warehouse, and analytics requirements.
- Translate business requirements into functional specifications for data reporting applications.
Minimum Requirements
- 4-6 years of professional experience in data engineering or relevant field.
- Hands-on experience with Azure Databricks, Azure Data Factory (ADF), Delta Lake, Azure Data Lake, Azure Synapse Analytics, data warehouse technologies, SQL, Python, and Cosmos DB.
- Proficient in building and managing ETL workflows using Azure Data Factory pipelines.
- Knowledge of semi-structured data and streaming data processing.
Ideal Candidate Profile
- Experienced in end-to-end Azure cloud data engineering environments with strong ETL and pipeline automation skills.
- Skilled in working with various Azure data services including Databricks, Synapse Analytics, Data Lake, and SQL Data Warehouse.
- Capable of aligning technical data solutions with business requirements for reporting and analytics.