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About the role
- Lead Data Engineer responsible for implementing and maintaining data integration solutions for diverse customer needs. Overseeing a team of consultants to achieve project success.
Responsibilities
- Provides technical expertise in needs identification, data modelling, data movement and transformation mapping (source to target), automation and testing strategies, translating business needs into technical solutions with adherence to established data guidelines and approaches from a business unit or project perspective whilst leveraging best fit technologies (e.g., cloud, Hadoop, NoSQL, etc.) and approaches to address business and environmental challenges
- Works with stakeholders to identify and define self-service analytic solutions, dashboards, actionable enterprise business intelligence reports and business intelligence best practices. Responsible for repeatable, lean and maintainable enterprise BI design across organizations. Effectively partners with client team.
- Leadership not only in the conventional sense, but also within a team we expect people to be leaders. Candidate should elicit leadership qualities such as Innovation, Critical thinking, optimism/positivity, Communication, Time Management, Collaboration, Problem-solving, Acting Independently, Knowledge sharing and Approachable.
Requirements
- 10 Years industry implementation experience with data integration tools such as AWS services Redshift, Athena, Lambda, Glue, S3, ETL, etc.
- 5-8 years of management experience required
- 5-8 years consulting experience preferred
- Minimum of 5 years of data architecture, data modelling or similar experience
- Bachelor’s degree or equivalent experience, Master’s Degree Preferred
- Strong data warehousing, OLTP systems, data integration and SDLC
- Strong experience in orchestration & working experience cloud native / 3rd party ETL data load orchestration
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