02 Oct
|
Techolution
|
India
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: Work from home
Work Timings: 3:00 PM to 12:00 AM IST
No of Openings: 2
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.
Roles and responsibilities:
• Design, develop, and manage end-to-end data pipelines using Azure Data Factory or Synapse Data Factory to orchestrate migration and ETL processes.
• Build and administer scalable, secure Azure Data Lakes to store and manage structured and unstructured data during and post-migration.
• Utilize Azure Databricks, Synapse Spark Pools, Python, and PySpark for advanced data transformation and processing.
• Develop and fine-tune SQL/T-SQL scripts for data extraction, cleansing, transformation,
and reporting in Azure SQL Database, SQL Managed Instances, and SQL Server.
• Design and maintain ETL solutions using SQL Server Integration Services (SSIS), including reengineering SSIS packages for Azure compatibility.
• Collaborate with cloud architects, DBAs, and application teams to assess existing workloads and define the best migration approach.
• Continuously monitor and optimize data workflows for performance, reliability, and cost-effectiveness across Azure platforms.
• Enforce best practices in data governance, security, and compliance throughout the migration lifecycle.
Required Skills and Qualifications:
• 4+ years of hands-on experience in data engineering, with a clear focus on SQL workload migration to Azure.
• Deep expertise in: Azure Data Factory / Synapse Data Factory, Azure Data Lake, Azure Databricks / Synapse Spark Pools, Python and PySpark, SQL
• Proven track record of deliveri
📌 Azure Data Engineer (India)
🏢 Techolution
📍 India