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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and optimize scalable data pipelines and data warehouses on Azure Databricks, Azure Data Factory, and Snowflake.
Migrate data from multiple sources to Databricks and implement data quality and governance frameworks.
Support business intelligence and KPI reporting by collaborating with stakeholders and managing Agile delivery processes.
Minimum Requirements
10+ years of data engineering experience.
Strong expertise in Azure Databricks, Azure Data Factory, Snowflake, Python, PySpark, SQL, data modeling, and ETL development.
Experience with data governance and Agile methodologies.
Work Experience Required: 10+ years.
Ideal Candidate Profile
Experienced in managing end-to-end data engineering projects in cloud environments, especially Azure.
Proficient in stakeholder management and Agile delivery processes, indicating ability to work cross-functionally.
Strong technical background with hands-on skills in advanced data engineering tools and frameworks including Snowflake and Databricks.