Big Data Engineer
2 weeks ago
**Job Overview**:
Understand, design, develop, and expand data engineering/ data warehousing technical stacks: ETLs, Data Stores, Data Warehouse, Data Lakes, Data Hubs, Data Governance, Visualization, Performance, Infrastructure, and Governance in either enterprise/ open source/ bespoke solutions or platforms.
- Design and develop ETL environment/ ingestion of data from source to destination.
- Design, develop, and test data stores, data warehouse, and data mart in the Azure environment
- Implement data pipelines to bring data at reach to platforms or tools used by different business units. Maintain development roadmap aligned with product and infrastructure objectives to support advanced data solutions
- Analyze source data and data flows and building APIs or solutions for data consumption or integration to different tools
- Design, implement, and test solutions for integrating, streaming, processing, and storage of data. This also includes data in data warehouses, data lakes, and/or data hubs and handling of structured, semi-structured, and unstructured data
- Migrate existing reports and dashboards to the cloud data platform through data mart or PowerBI dashboards
- Work with architects contributing to the data and analytics team on best practices in backend infrastructure, cloud transformation, and distributed computing topics
- Manage monitoring of all data cleansing/quality activities including support and guidance to business users to support all reporting needs, data profiles. Develop team’s data capabilities with knowledge sharing, enforcing best practices, and building a data-driven organization
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