Hybrid Data Engineer (Snowflake expereince required) - Contract: W2
Dice · Tampa, FL, Vereinigten Staaten Von Amerika · Hybrid
Details zum Jobangebot
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Xoriant Corporation, is seeking the following. Apply via Dice today!Job Title : Data Engineer
Location: Tampa, FL (Hybrid 2 days a week onsite)
Duration : Long term contract
Contract: W2 / C2C IC (Own corp)
Job Description: Roles and Responsibilities:
- Work closely with key technology domain SMEs to develop an in-depth understanding of their critical data needs and impact of existing data quality issues.
- Design and maintain logical and physical data models that conform to client standards.
- Execution of data management activities data mapping, data lineage, data tracing, maintenance of data quality rules and controls, maintenance of a metadata repository
- Support the implementation of the strategic technology data architecture that will facilitate the availability, accessibility, quality and reliability of data.
- Collaborate with data architects and data engineers from other technology data domains to ensure consistency of data models and other deliverables.
- Ensure adherence to the client Data Management Policy, with overall strategy aligning to the Chief Data Office.
- Experience and Skills
- Skilled Data Modeller with demonstrated ability in developing Conceptual, Logical and Physical Data Models.
- Good understanding and experience with information architecture concepts (Enterprise Information Management, Metadata Management, Master Data Management, Data Governance).
- Hands-on tools experience with Erwin for data modeling (Magic Draw and other tools) and Collibra for metadata management is desirable.
- Expertise in RDBMS, NoSQL, Data Warehousing, Big Data and Data Visualization tools.
- Working knowledge of message queuing, stream processing, and highly scalable big data data stores.
- Excellent communication and presentation skills. Self-starter and ability to work with minimum supervision.
- Strong collaboration skills, with good track record in establishing partnerships and teamwork.
- Certification in Data warehousing and data analysis, modelling a plus.
- Experience in Hadoop and tools preferred.
- Education/background in engineering preferred.
- Bachelor s/University degree or equivalent experience, Master s degree preferred.
