Data Engineer

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Key Responsibilities:

• 8+ years of experience in data engineering with a balanced focus on traditional ETL and modern cloud-based integration.
• 4+ years of hands-on experience with IBM Data Stage, including development, optimization, and support of complex ETL workflows.
• 4+ years of experience with Azure Data Factory, Azure SQL Database, and other Azure-native services for data ingestion and transformation.
• Experience in ETL migration projects, particularly transitioning Data Stage workloads to ADF or equivalent cloud pipelines.
• Ability to design, develop, and maintain ETL pipelines in both on-premise (Data Stage) and cloud (ADF) ecosystems.
• Proven ability to lead and coordinate offshore development teams, ensuring alignment with timelines, quality standards, and delivery goals.
• Expertise in building and managing data pipelines using Databricks, implementing data quality, lineage, and governance practices.
• Proficient in SQL and Python, including writing scripts for data manipulation and orchestration logic.
• Experience in Azure-based data warehouse platforms like Azure Synapse Analytics, Azure Data Lake, and associated data services.
• Familiar with CI/CD practices using Azure Dev Ops, including automation of pipeline deployment and version control.
• Knowledge of data governance, security, and compliance best practices in the Azure cloud environment.

• Seniority level
  
  Mid-Senior level

• Employment type
  
  Full-time

• Job function
  
  Information Technology
• Industries
  
  IT Services and IT Consulting

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