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Data & Analytics - Data Engineer - Data Quality – ETL [28451]
2 months ago
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.
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