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Senior Data Engineer
Skills
Computer ScienceConsumer TextilesData AnalyticsData IntegrityData WarehousingDatabasesManagement Information Systems
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Bachelors degree in Computer Science Management Information Systems or related field
- Minimum eight years of relevant experience in ETL data integration and migration with strong SQL
- Minimum three years of experience with data warehouse technologies Power BI development and administration and translating financial data into executive reports and KPIs
- Experience creating and deploying ETL processes using SSIS
- Required hands-on experience creating Python scripts and automating internal processes
- Experience with Azure APIs Microsoft Fabric SSRS SSIS SSAS Power Apps Power Automate Power BI and Python
- Strong analytical problem-solving communication organizational and time management skills
- Ability to handle confidential information with discretion and produce clear client-ready deliverables
Nice to have
- Innovative
- Growth-minded
- Detail-oriented
- Collaborative
- Discreet
- Organized
Day to day
- Analyze validate and cleanse enterprise data for finance applications and related reporting
- Design develop and maintain ETL pipelines data structures and data lake solutions across cloud platforms
- Build Power BI dashboards and support business users with accurate timely data retrieval and analysis