ST

Data Engineer

Staffice Global Private Limited
Bangalore5-10 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.
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