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
- Own and develop data engineering solutions using Azure services including Databricks, Data Factory, Data Lake, and Synapse Analytics.
- Design and implement ETL pipelines and processing workflows for data ingestion and transformation, ensuring integration with data warehouse and reporting systems.
- Translate business requirements into functional specifications for reporting and analytics applications.
Minimum Requirements
- 4-6 years of professional experience in data engineering or a relevant field.
- Hands-on experience with Azure Databricks, Azure Data Factory, Azure Data Lake, Azure Synapse Analytics, SQL Data Warehouse, SQL, Python, and Cosmos DB.
- Experience with semi-structured data, streaming data, and ETL pipeline development using Azure Data Factory.
- Knowledge of Power BI is beneficial; certifications in Azure are a plus but not mandatory.
Ideal Candidate Profile
- Proven ability to build and maintain complex data pipelines on Azure cloud platform leveraging Databricks and ADF.
- Experienced in working with both batch and streaming data scenarios and converting business needs into technical solutions.
- Comfortable handling data across data lake, data warehouse, and analytics environments with proficiency in Azure native tools.