Data Engineering and Analytics Lead
3 weeks ago
Key Responsibilities
- Data Strategy and Innovation
- Develop and lead the design of data solutions that support quick and efficient reporting and insights, focusing on automation, performance, and data accessibility.
- Collaborate with cross-functional teams and stakeholders to understand data requirements and drive data-driven initiatives, ensuring data is readily available for business and analytics consumption.
- Stay up-to-date with industry trends and technology advancements in data engineering and analytics, championing the importance of modern data solutions across the business.
Technical Requirements
- Extensive experience leading AWS and cloud data platform transformations, with a proven track record of delivering large-scale data and analytical solutions in a cloud environment.
- Hands-on experience in end-to-end data pipeline implementation using AWS services, including data preparation, extraction, transformation & loading, normalization, aggregation, warehousing, data lakes, and data governance.
- Expertise in developing data warehouses and in-depth understanding of modern data architecture such as Data Lake, Data Warehouse, Lakehouse, and Data Mesh.
Skills and Experience
- Strong knowledge of data architecture and data modelling practices, with the ability to cost-effectively manage data pipelines.
- Data Modelling, Python, SQL, NoSQL DBs, Snowflake, AWS Cloud, APIs, Tableau, PowerBI, DQ Framework, DWH, Real time reporting.
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