Description:

Serve as the technical lead for projects, guiding implementation standards and mentoring engineers.
Design, develop, and maintain complex ETL pipelines using Databricks for high-performance data integration.
Implement and optimize medallion architecture in Databricks for enterprise-wide reporting.
Develop dimensional data models for analytics-ready business views and automated dashboarding.
Collaborate with cross-functional teams to translate operational requirements into technical solutions.
Contribute to architectural decisions and recommend best practices for data platform durability.
Identify and address integration challenges and data quality issues proactively.
Support knowledge transfer and documentation for independent maintenance of data solutions.

Requirements:

3–5 years of hands-on experience with Databricks and relevant certifications.
Experience designing and implementing medallion data models in Databricks.
Strong skills in developing dimensional models for business intelligence and reporting.
Advanced proficiency in orchestrating complex ETL workflows across multiple systems.
Ability to translate operational requirements into technical deliverables with business impact.
Self-starter with the ability to work independently in ambiguous contexts.
Preferred: Experience with Azure Data Lake, Data Factory, and related services.
Preferred: Experience with data visualization tools like Power BI, Qlik, or Tableau.
Proactive communication skills to provide feedback and advocate for best practices.

Opportunity to lead and mentor a team in a collaborative environment.
Engage in a culture of mutual support, continuous improvement, and openness to new ideas.