Data Integration Lead
4 days ago
About Our Company Culture
At Michael Page, we foster a collaborative and dynamic work environment that encourages innovation and excellence.
Job Description
- This role involves developing and maintaining data pipelines using Microsoft Azure services, ensuring seamless data flow and integration.
Key Responsibilities
- Data Pipeline Development: Use Azure Data Factory, Synapse, and Databricks to create efficient data pipelines.
- Data Management: Organize and manage data pipeline outputs with Azure Data Lake Storage and Azure Blob Storage.
- Collaboration: Work closely with data scientists, analysts, and architects to deliver data solutions.
- Optimization: Optimize data pipelines for performance, scalability, and reliability.
- Data Quality: Ensure data quality and integrity through validation techniques.
- Documentation: Document data processes, configurations, and best practices.
- Troubleshooting: Monitor, troubleshoot, and resolve data pipeline issues.
- CICD: Manage the CI/CD process for data solutions deployment.
Requirements
- Experience: 3+ years of experience in data engineering or similar roles, with strong experience in ETL processes.
- Technical Skills: Expertise in Microsoft Azure services, including Azure Data Factory, Synapse, Databricks, Blob Storage, and Data Lake. Proficient in SQL (e.g., SQL Server, PostgreSQL) for efficient querying. Strong knowledge of software engineering principles (CI/CD, version control, testing). Experience with big data technologies (e.g., Spark) and Python (preferred).
- Soft Skills: Excellent problem-solving, communication, and collaboration skills.
What We Offer
- Competitive salary and benefits package.
- Opportunities for career growth and development.
- Recognition and rewards for outstanding performance.
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