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Vrinda Global
Azure Data engineer
Vrinda Global · posted 1 month ago
Chennai, Hyderabad +4 more
About the role
Senior Data Engineer
Key Responsibilities
- Design, develop, and maintain scalable data pipelines for ingestion, transformation, and validation of large datasets
- Work with Apache Spark and big data ecosystem to process structured and unstructured data
- Build and optimize ETL/ELT workflows for performance and reliability
- Implement data quality checks, validations, and automation processes
- Develop and manage data solutions using Azure Data Factory, Azure Synapse, and ADLS
- Apply data warehousing concepts (star schema, snowflake schema, dimensional modeling)
- Collaborate with cross-functional teams including data analysts, data scientists, and business stakeholders
- Ensure data security, governance, and compliance best practices
Required Skills (Primary)
- Strong proficiency in Python and SQL
- Hands-on experience with Apache Spark and big data frameworks
- Experience building data pipelines, transformations, validations, and automation
- Solid understanding of Data Warehousing concepts
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Experience with:
- Azure Data Factory
- Azure Synapse Analytics
- Azure Data Lake Storage (ADLS)