
Data Engineering Leader
2 days ago
Job Description
About UsWe are Happy Socks, a forward-thinking fashion company that excels in creating unique, high-quality products. We sell directly to consumers through our online and physical channels, as well as wholesale to various partners. Our innovative approach involves leveraging technology to drive business insights and operational efficiency.
About the RoleThis is an exciting opportunity for a strategic Data Engineering Leader to join our growing data engineering team. As the successful candidate, you will oversee the completion of the initial project, shape our overall data strategy, and guide data modeling and transformation initiatives.
Key Responsibilities- Architect and Oversee: Design, implement, and maintain scalable data pipelines and infrastructure, establishing monitoring frameworks and quality standards.
- Team Leadership: Project manage the outcomes of a small team of data engineers, providing technical guidance and ensuring best practices in implementation.
- Data Quality Initiatives: Drive data quality initiatives and establish governance frameworks throughout all stages of data processing.
- Data Pipeline Development: Guide the design and implementation of scalable data pipelines to support ELT/ETL processes and data warehousing, working with various data sources and ingestion/transformation tools.
- Collaboration: Partner with analytics specialists, analysts, and other teams to translate business requirements into technical specifications.
- Architecture Maintenance: Oversee the maintenance and evolution of our Data Warehouse architecture.
- Data Modeling: Define data modeling and transformation frameworks aligned with business processes, ensuring proper implementation by the team.
- Standards Establishment: Establish standards for serving data in downstream applications like reports or dashboards.
- Best Practices Implementation: Drive the implementation of best practices for versatility, reliability, ease of maintenance of the data platform as well as data governance, security, and compliance.
- Optimization: Guide the optimization of data storage solutions, focusing on performance, cost, and scalability.
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