
Cloud Data Architect
2 days ago
Our organization is seeking a skilled Data Engineer to join our data team. The ideal candidate will be responsible for designing and maintaining robust data pipelines that support scalable and secure data processing in the cloud.
Key Responsibilities- Design and develop end-to-end data pipelines using Azure Data Factory and Databricks.
- Work with Spark 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 stakeholders to support data-driven decisions.
- Ensure performance tuning, cost optimization and data pipeline reliability.
- Maintain data quality, metadata and documentation across all projects.
About the Ideal Candidate
- 4+ years of experience in Data Engineering.
- Strong proficiency in Azure Data Factory, Azure Databricks and Azure Data Lake.
- Mandatory experience with Spark (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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