Data Engineer – Azure Data Platform
Location: Bangalore
Job Type: Full-time | On-site
Experience: 6–9 Years
Shift: Day Shift
Education: B.E./B.Tech in Computer Science, Information Technology, Electronics, or a related Engineering discipline.
Age Limit: Up to 40 Years
Job Overview
We are looking for an experienced Data Engineer – Azure Data Platform to design, develop, and optimize scalable cloud-based data solutions. The ideal candidate should have strong hands-on experience with Microsoft Azure data services, ETL/ELT pipelines, and modern data engineering practices.
Key Responsibilities
- Design, develop, and maintain ETL/ELT data pipelines using Azure services.
- Build and manage data ingestion, transformation, and integration workflows.
- Develop and optimize data lakes, data warehouses, and data models.
- Ensure data quality, security, and governance across enterprise data platforms.
- Monitor and optimize data pipeline performance and troubleshoot issues.
- Implement CI/CD practices for data engineering workflows.
- Collaborate with cross-functional teams to deliver scalable data solutions.
Required Skills
- Strong experience with:
- Azure Data Factory (ADF)
- Azure Synapse Analytics
- Azure Data Lake Storage (ADLS)
- Azure SQL Database
- Hands-on experience with:
- Azure Databricks
- PySpark
- Apache Spark
- Strong knowledge of SQL and Python.
- Experience in ETL/ELT development, data modeling, and performance tuning.
- Knowledge of Azure DevOps, Git, and CI/CD pipelines.
- Understanding of data governance and security best practices.
Preferred Qualifications
- Experience working on enterprise-scale Azure cloud data platforms.
- Microsoft Azure Data Engineer Certification is an added advantage.
- Strong analytical, problem-solving, and communication skills.
- Experience with Power BI or other reporting tools is a plus.
Pay: ₹913,920.00 - ₹1,468,800.00 per year
Application Question(s):
- How many years of experience do you have in Azure Data Factory (ADF), Azure Synapse Analytics, Azure Data Lake Storage (ADLS), and Azure SQL Database?
- Do you have hands-on experience with PySpark, Azure Databricks, and Apache Spark ?
- What is your highest qualification?
Work Location: In person
