Databricks Developer

Job Title:

Experience:

Job Summary

Databricks Developer

Core Competencies

• Data Modeling (

  Star, Snowflake

  schemas)

• SQL

  Development (Stored Procedures, Partitioning, Recursive Queries)

• ETL

  Design & Implementation
• Data Profiling & Root Cause Analysis
• Cloud & On-Premise Data Platforms (

  Databricks, Oracle

  )
• Data Quality & Governance
• Change Data Capture (CDC) & Audit Strategy
• Stakeholder Collaboration
• Data Strategy & Architecture Fundamentals

Roles and Responsibilities

• Analyze and understand data sources, relationships, and usage patterns.
• Design and implement scalable data models using best practices in dimensional modeling.
• Develop and optimize complex

  SQL

  queries for data extraction and transformation.
• Collaborate with business and technical teams to align data solutions with business needs.
• Conduct data profiling and root cause analysis to resolve data quality issues.
• Implement CDC, audit logging, and reference data strategies.
• Create mapping and helper tables to support flexible

  ETL

  processes.
• Ensure data accuracy, integrity, and completeness across platforms.

General Attributes

• Strong analytical and problem-solving skills.

• Effective communicator

  with the ability to explain technical concepts to non-technical stakeholders.
• Collaborative mindset with experience working in cross-functional teams.
• Passion for data and continuous learning.

Preferred Skills

• Experience with data visualization tools like

  Power BI or Tableau

  .
• Exposure to the Life Sciences or Pharmaceutical industry is a plus.