Responsibilities:

• Develop and maintain data marts using databricks to support business analytics and reporting use cases.

• Develop & Implement ETL/ELT processes to extract, transform and load data using an existing framework.

• Collaborate with business stakeholders to gather requirements and ensure the datamarts/data assets that are built meets the business needs.

• Create & maintain data dictionary/ETL mapping documents.

• Reverse engineer existing data prep processes and convert them into reusable governed and certified data assets.

• Implement data quality checks and ensure data integrity within the datamarts /data assets.

Qualifications:

• Proven experience as a Data Engineer, ETL developer or in a similar role

• Proficient in SQL and Python.

• Knowledge of Databricks.

• Familiarity with data warehousing concepts and best practices.

• Strong understanding of data modeling, and in particular dimension modeling.

• Excellent problem-solving skills and the ability to multitask, work independently and as part of a team.

• Good communication skills and the ability to collaborate effectively within and across the team.