Posted:19 hours ago|
Platform:
Work from Office
Full Time
Key Skills: Azure Devops, Data Engineer, Azure Databricks, Azure Roles and Responsibilities: Design and develop scalable data pipelines using Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and Azure Data Lake. Build robust ETL/ELT processes to ingest data from structured and unstructured sources. Implement data models and manage large-scale data warehouses and lakes. Optimize data processing workloads for performance and cost-efficiency. Work closely with Data Scientists, Analysts, and Software Engineers to meet data needs. Ensure data governance, quality, security, and compliance best practices. Monitor, troubleshoot, and enhance data workflows and environments. Skills Required: Proven experience as a Data Engineer working in Azure environments. Strong expertise in Azure Data Factory, Synapse, Databricks, Azure SQL, and Data Lake. Proficient in SQL, Python, and PySpark. Solid understanding of ETL/ELT pipelines, data integration, and data modeling. Experience with CI/CD, version control (Git), and automation tools. Familiarity with DevOps practices and infrastructure-as-code (e.g., ARM, Bicep, Terraform). Excellent problem-solving, communication, and collaboration skills. Education: Bachelor's Degree in related field
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