
Senior Data Engineering Specialist
10 hours ago
We are seeking a highly skilled Data Engineering Specialist to design and implement scalable data architectures.
The ideal candidate will have expertise in Azure Data Engineering, SQL, Python, PySpark, and other relevant technologies.
Main Responsibilities:
- Data Ingestion: Develop and optimize ETL/ELT pipelines using Azure Data Factory (ADF), Databricks, and Synapse Analytics.
- Data Architecture: Implement data architectures following Medallion Architecture and best practices.
- Data Transformation and Orchestration: Perform data transformation and orchestration across structured and unstructured datasets.
- Data Governance and Security: Ensure data governance and security in Azure-based data solutions.
- Monitoring and Troubleshooting: Monitor and troubleshoot data pipelines to maintain reliability and performance.
Requirements:
- Azure Data Engineering: Strong experience in Azure Data Engineering with Data Factory, Synapse, Fabric, Databricks.
- SQL and Python: Expertise in SQL, T-SQL, and Python for data processing and transformation.
- PySpark: Hands-on experience with PySpark for big data processing.
- ETL/ELT Pipelines: Experience in designing ETL/ELT pipelines and working with large datasets.
- Azure Data Lake: Proficiency with Azure Data Lake (ADLS) Gen2 for data storage and processing.
- CI/CD and DevOps: CI/CD and DevOps knowledge, including Azure DevOps, Git, and automated deployments.
About the Role:
This is a fantastic opportunity to leverage your technical skills and passion for data engineering to drive business growth and innovation.
About the Company:
We are a global technology company with a rich history of delivering innovative IT solutions to our clients.
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