
Azure Data Engineer
1 week ago
Job Title : Azure Data Engineer
Experience : 4-9 Years
Location : Bangalore (On-site/Hybrid as applicable)
Employment Type : Full-Time
Notice Period : 30 Days
About the Role :
We are seeking a skilled Azure Data Engineer to join our growing data team. The ideal candidate will have strong expertise in designing, developing, and maintaining scalable data pipelines and cloud-based data platforms using Microsoft Azure. You will play a key role in enabling data-driven decision-making by ensuring the availability, integrity, and performance of enterprise data systems.
Key Responsibilities :
- Design, build, and optimize data pipelines, ETL/ELT processes, and workflows on Azure.
- Develop and maintain Azure Data Lake, Azure Synapse Analytics, and Azure SQL Databases.
- Work with Azure Data Factory (ADF), Databricks, PySpark, and Azure Functions to integrate and transform large datasets.
- Ensure data quality, security, and compliance with organizational and industry standards.
- Collaborate with data scientists, analysts, and business stakeholders to provide reliable and scalable data solutions.
- Monitor and optimize system performance, troubleshoot issues, and implement best practices for cost and efficiency.
- Support migration of on-premise databases/warehouses to Azure cloud Skills & Qualifications :
1. 4-9 years of experience as a Data Engineer, with at least 3 years working on Azure Data services.
2. Hands-on expertise with :
- Azure Data Factory (ADF), Azure Databricks, Azure Data Lake, Azure Synapse/SQL DW.
- SQL, Python, PySpark/Scala for data transformation and automation.
3. Strong knowledge of ETL design patterns, data modeling, and data warehousing concepts.
4. Experience with cloud data architecture and performance tuning.
5. Familiarity with Power BI integration and real-time streaming (Kafka/Event Hubs) is a plus.
6. Excellent problem-solving, communication, and collaboration skills.
Good to Have :
- Experience with CI/CD for data pipelines (Azure DevOps, GitHub Actions).
- Knowledge of machine learning workflows and integration with Azure ML.
- Exposure to data governance and security Join Us ?
- Competitive salary range (?1528 LPA) with performance-based growth.
- Opportunity to work on enterprise-grade cloud data solutions.
- Collaborative and innovation-driven work environment.
- Exposure to cutting-edge technologies and large-scale data engineering projects.
(ref:hirist.tech)
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