03 Aug
|
Shivanii Talent Hub
|
India
03 Aug
Shivanii Talent Hub
India
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 robust 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
Solid 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
📌 Data Engineer – Azure Data Platform Bengaluru (India)
🏢 Shivanii Talent Hub
📍 India