[Hiring] Azure Data Engineer @Sparix Global.

Role Description

The Azure Data Engineer will be responsible for designing, developing, and maintaining 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.

Qualifications

• 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.
• Experience with Azure Data Factory.
• Experience with Azure Synapse Analytics.
• Experience with Azure Data Lake Storage (ADLS).

Requirements

• Experience with Azure DevOps.
• Strong knowledge of Git version control.
• Hands-on experience with CI/CD pipelines.
• Familiarity with agile development methodologies.