Data Engineer Level 2

Doyensys is a Management and Information Technology consulting services company based out of Dallas, TX. With 200+ employees globally, we support customers around the globe to solve their business and technology challenges. Great culture, excellent benefits , consistant growth are some of the attributes of Doyensys. We look for great talents to join our thriving team. Why settle for less?

Position Summary

Accountable for developing and delivering technological responses to targeted business outcomes. Analyze, design and develop enterprise data and information architecture deliverables, focusing on data as an asset for the enterprise. Understand and follow reusable standards, design patterns, guidelines, and configurations to deliver valuable data and information across the enterprise, including direct collaboration with 84.51, where needed. Demonstrate the company's core values of respect, honesty, integrity, diversity, inclusion and safety.

Minimum Position Qualifications

4+ years experience in the data development and principles including end-to-end design patterns

4+ years proven track record of delivering large scale, high quality operational or analytical data systems

4+ years successful and applicable experience building complex data solutions that have been successfully delivered to customers

Any experience in a minimum of two of the following technical disciplines: data warehousing, big data management, analytics development, data science, application programming interfaces (APIs), data integration, cloud, servers and storage, and database mgmt

Excellent oral/written communication skills

Key Responsibilities

Utilize enterprise standards for data domains and data solutions, focusing on simplified integration and streamlined operational and analytical uses

Ensure there is clarity between ongoing projects, escalating when necessary, including direct collaboration with 84.51

Leverage innovative new technologies and approaches to renovate, extend, and transform the existing core data assets, including SQL-based, NoSQL-based, and Cloud-based data platforms

Define high-level migration plans to address the gaps between the current and future state

Contribute to the development of cost/benefit analysis for leadership to shape sound architectural decisions

Analyze technology environments to detect critical deficiencies and recommend solutions for improvement

Promote the reuse of data assets, including the management of the data catalog for reference

Draft architectural diagrams, interface specifications and other design documents