
Data Engineer
1 week ago
We are looking for a highly skilled Data Engineer with hands-on experience in Azure Data Factory, Databricks, and Payspark to join our data team. You will be responsible for designing and maintaining robust data pipelines that support scalable and secure data processing in a modern cloud environment.
Responsibilities:
- Develop and maintain end-to-end data pipelines using Azure Data Factory and Databricks
- Work with Payspark to integrate, process, and transform data in compliance with business rules
- Handle ETL/ELT processes for both structured and unstructured data
- Collaborate with analysts, architects, and business teams to support data-driven decisions
- Ensure performance tuning, cost optimization, and data pipeline reliability
- Maintain data quality, metadata, and documentation across all projects
Requirements:
- 4+ years of experience in Data Engineering
- Strong proficiency in Azure Data Factory, Azure Databricks, and Azure Data Lake
- Mandatory experience with Payspark (data integration, transformation, or related usage)
- Advanced skills in Python, PySpark, and SQL
- Solid understanding of Delta Lake, data modeling, and data warehousing
- Experience working with CI/CD pipelines (preferably Azure DevOps)
- Familiarity with tools like Synapse Analytics, Power BI, or Snowflake is a plus
- Strong knowledge of data governance, security, and privacy best practices
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