STStaffice Global Private Limited
Data Engineer
Bangalore ₹5-10 LPA Posted 12 Aug 2025
FULL TIME
Azure Databricks
Etl Process
Data Security
Data Governance
Azure Data Factory
+2 more
Job Description
This role is for a Data Engineer to design and implement end-to-end data engineering solutions on Azure. The ideal candidate will be responsible for developing and optimizing data pipelines, ensuring data quality and security, and collaborating with cross-functional teams to build scalable data architectures.
Responsibilities
- Design and implement end-to-end data engineering solutions on Azure, utilizing services like Azure Data Factory (ADF), Azure Databricks, and Synapse Analytics.
- Develop and maintain data pipelines (ETL) that extract, transform, and load data from various sources into Azure data repositories, including data lakes.
- Optimize and fine-tune data pipelines for performance, scalability, and cost-efficiency.
- Automate tasks and deploy production-standard code with unit testing, continuous integration, and versioning.
- Load transformed data into various destinations, including data warehouses, high-speed indexes, and real-time reporting systems.
- Ensure data quality and accuracy through testing and validation.
- Implement data security measures, including encryption, access controls, and auditing.
- Provide guidance and support for data governance, including metadata management and data lineage.
- Collaborate with cross-functional teams to understand data requirements and translate them into scalable data architectures.
- Troubleshoot and resolve data pipeline issues to ensure minimal downtime.
- Utilize SQL for data transformation and perform data modeling when necessary.
- Create and maintain comprehensive documentation of data processes and architectures.
Skills
Required Skills:
- Expertise in ETL (Extract, Transform, Load) processes.
- Strong skills in Data Analysis and Business Analysis.
- Hands-on experience with Azure Data Factory (ADF) and Azure Databricks.
- Proficiency in SQL for data transformation and modeling.
- Experience with data security measures and data governance.
- Ability to automate tasks and deploy production-standard code.
- Strong communication and collaboration skills.