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Data Engineer
4 weeks ago
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.
Requirements :- Key Skills : Azure Devops, Data Engineer, Azure Databricks, Azure.
- 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.
(ref:hirist.tech)