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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and maintain data pipelines and integration solutions using Azure Data Factory, Databricks, Synapse, and Data Lake Storage.
Implement ETL/ELT workflows, data models, and optimize Spark jobs for performance and cost efficiency in Azure environment.
Manage CI/CD pipelines, data security, and collaborate with analysts and architects to deliver scalable analytics data solutions.
Minimum Requirements
5+ years of experience in data engineering with Azure services.
Proficient in Azure Data Factory, Azure Databricks, Azure Synapse, ADLS Gen2, Python (PySpark), SQL, and Spark SQL.
Bachelor's degree in Computer Science, IT, or related field; Azure Data Engineer Associate (DP-203) certification preferred.
Experience with data ingestion, transformation, data modeling (Star/Snowflake schemas), and implementing CI/CD pipelines.
Ideal Candidate Profile
Experienced in designing metadata-driven, parameterized data pipelines integrating multiple data sources in Azure.
Skilled in implementing Delta Lake architecture with performance tuning and data governance in enterprise Azure environments.
Capable of collaborating with BI teams and architects to deliver end-to-end scalable data engineering solutions with adherence to security and compliance standards.