Applications/Software Developer 4_Senior ETL Databricks Developer

The selected candidate will primarily work on Databricks and Reltio projects, focusing on data integration and transformation tasks. This role requires a deep understanding of Databricks, ETL tools, and data warehousing/data lake concepts. Experience in the life sciences domain is preferred. Candidate with Databricks certification is preferred.

Key Responsibilities

Design, develop, and maintain data integration solutions using Databricks.

Collaborate with cross-functional teams to understand data requirements and deliver efficient data solutions.

Implement ETL processes to extract, transform, and load data from various sources into data warehouses/data lakes.

Optimize and troubleshoot Databricks workflows and performance issues.

Ensure data quality and integrity throughout the data lifecycle.

Provide technical guidance and mentorship to junior developers.

Stay updated with the latest industry trends and best practices in data integration and Databricks.

Required Qualifications

Bachelors degree in computer science or equivalent.

Minimum Of 5 Years Of Hands-on Experience With Databricks.(Mandatory)

Strong knowledge of any ETL tool (e.g., Informatica, Talend, SSIS). (Mandatory)

Well-versed in data warehousing and data lake concepts.

Proficient in SQL and Python for data manipulation and analysis.

Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services.

Excellent problem-solving skills.

Strong communication and collaboration skills.

Preferred Qualifications

Certified Databricks Engineer.

Experience in the life sciences domain.

Familiarity with Reltio or similar MDM (Master Data Management) tools.

Experience with data governance and data security best practices.