Senior Databricks Engineer

Role                  :             Senior Databricks Engineer

Location            :             Remote Role

Duration            :            6 Months Contract

Role Responsibilities

Lead Developer - Senior Data bricks engineer with ETL and Data engineering exp

We need ETL/ELT Data bricks engineers with Databricks Data engineering professional certification

• 15 experience of hands-on experience in data engineering with a focus on Databricks Independently design, build, and maintain complex, production-grade data pipelines on Databricks.
• Develop efficient ETL/ELT processes with a strong focus on data quality, consistency, and scalability.
• Build reusable frameworks for ingestion, transformation, and reconciliation across enterprise source systems.
• Apply and help improve engineering standards — pipeline architecture, coding standards, and ETL/ELT best practices.
• Strong hands-on background in Databricks, Python (PySpark), and SQL for large-scale data processing, incremental data loads, and metadata-driven ingestion and data quality frameworks using PySpark Working knowledge of CI/CD pipelines, Git-based branching strategies, and DevOps practices.
• Work within an Agile delivery / Kanban methodology to deliver product increments in iterative cycles.
• Work with product and business partners to define roadmap, communication, architecture, adoption plans, and support models.
• Experience working on real-time data and streaming applications Experience with data modeling for data warehousing Experience in AWS or Azure cloud.
• Prefer associates with Databricks Data engineering certification