Senior Data , BI & AI Enablement Engineer
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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and maintain data pipelines using Databricks and Apache Spark for efficient data integration and transformation.
Manage and optimize Databricks environments including Unity Catalog administration, cluster policies, and CI/CD pipelines using GitHub or Azure DevOps.
Ensure data quality, security, governance, and collaborate with cross-functional teams to deliver scalable data solutions on cloud platforms (AWS, Azure).
Minimum Requirements
Bachelor’s degree in computer science, data science, software engineering, IT, or related quantitative field (Master’s preferred).
Minimum 6+ years of experience in data engineering with at least 2+ years hands-on with Databricks.
Experience in data integration, modeling, optimization, and data quality management relevant to data engineering.
Databricks Certifications (Associate, Professional, Administration) and proficiency with SQL, Python, PySpark, and cloud platforms such as AWS and Azure.
Ideal Candidate Profile
Experienced in modern data modeling techniques (dimensional, relational, Data Vault) and modern data architectures including cloud and data warehouse tools like Snowflake and Databricks.
Able to optimize data systems for performance, scalability, and reliability, applying advanced data engineering practices within agile teams.
Skilled at communicating complex data concepts across technical and business stakeholders to influence and support scalable AI, ML, and BI solutions.