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Transforming Business through Intelligent Data Solutions
3 weeks ago
We are seeking a skilled Senior Data Engineer to join our team. As a key member of our data engineering team, you will be responsible for designing and implementing scalable data architectures using Azure Data Factory, Databricks, and Synapse Analytics.
Key Responsibilities:
- Develop and optimize ETL/ELT pipelines using Azure Data Factory, Databricks, and Synapse Analytics.
- Design and implement data warehouses that support business intelligence and analytics.
- Perform data ingestion, transformation, and orchestration across structured and unstructured datasets.
- Write and optimize SQL queries for data extraction, transformation, and analysis.
- Implement CI/CD pipelines for data workflows using Azure DevOps.
- Collaborate with stakeholders to understand data requirements and ensure data availability.
- Ensure data governance, security, and compliance in Azure-based data solutions.
- Monitor and troubleshoot data pipelines to maintain reliability and performance.
Must-Have Skills:
- Strong experience in Azure Data Engineering with Data Factory, Synapse, Fabric, Databricks.
- Expertise in SQL, T-SQL, and Python for data processing and transformation.
- Hands-on experience with PySpark for big data processing.
- Experience in designing ETL/ELT pipelines and working with large datasets.
- Proficiency with Azure Data Lake (ADLS) Gen2 for data storage and processing.
- CI/CD and DevOps knowledge, including Azure DevOps, Git, and automated deployments.
About the Role:
We take pride in building innovative, efficient, and robust IT solutions for our clients. Our ideal candidate is passionate about delivering high-quality results, collaborating with cross-functional teams, and driving technical excellence.
