Azure Data Engineer
1 day ago
We are seeking a skilled Azure Data Engineer with hands-on experience in modern data engineering tools and platforms within the Azure ecosystem. The ideal candidate will have a strong foundation in data integration, transformation, and migration, along with a passion for working on complex data migration projects.
Job Title: Azure Data Engineer
Location: Remote
Work Timings: 2:00 PM 11:00 PM IST
No of Openings: 3
Please Note: This is a pure Azure-specific role. If your expertise is primarily in AWS or GCP, we kindly request that you do not apply.
Key Responsibilities:
- Design, develop, and maintain data pipelines using Azure Data Factory / Synapse Data Factory to orchestrate and automate data workflows.
- Build and manage data lakes using Azure Data Lake, enabling secure and scalable storage for structured and unstructured data.
- Lead and support data migration initiatives (on-prem to cloud, cloud-to-cloud), ensuring minimal disruption and high integrity of data.
- Perform advanced data transformations using Python, PySpark, and Azure Databricks or Synapse Spark Pools.
- Develop and optimize SQL / T-SQL queries for data extraction, manipulation, and reporting across Azure SQL services.
- Design and maintain ETL solutions using SSIS, where applicable.
- Collaborate with cross-functional teams to understand requirements and deliver data-driven solutions.
- Monitor, troubleshoot, and continuously improve data workflows to ensure performance, reliability, and scalability.
- Uphold best practices in data governance, security, and compliance.
Required Skills and Qualifications:
- 2+ years of experience as a Data Engineer, with strong emphasis on Azure technologies.
- Proven expertise in:
- Azure Data Factory / Synapse Data Factory
- Azure Data Lake
- Azure Databricks / Synapse Spark
- Python and PySpark
- SQL / T-SQL
- SSIS
- Demonstrated experience in data migration projects and eagerness to take on new migration challenges.
- Microsoft Certified: Azure Data Engineer Associate certification preferred.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration abilities.
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