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Big Data Analytics

New York,NY

3973 Big Data Analytics jobs in New York,NY

New, Posted 9 hours ago
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Data Products Designer

IBM

Paramus, NJ 07652

RemoteHealth InsurancePaid Time OffRetirement Benefit

Opportunities for performance based salary incentive programs
Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being
Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage
Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs.
IBM also offers paid family leave benefits to eligible employees where required by applicable law
Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals
Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences
Bachelor's Degree
Must be able to travel 4 days per week (mandatory).
Advanced expertise in data modelling, data design, or data architecture, with demonstrated ability to design scalable data models and architectures for complex enterprise environments.
Strong hands-on expertise in dimensional, relational, and lakehouse data modelling, including data products/data mesh concepts and source-to-target mapping.
Strong SQL skills and experience with Databricks (Delta Lake, Unity Catalog), AWS data services, and data modelling tools such as Erwin or ER Studio.
Experience designing scalable, reliable data solutions for unstructured and real-time/near-real-time data using Kafka, Amazon EventBridge, Amazon SQS, or similar technologies.
Experience with Fivetran or similar ELT tools, Collibra or similar metadata/catalogue platforms, and relational-to-Databricks/Lakebase migrations.
Knowledge of SAP IS-U, SAP-native data products, SAP Business Data Cloud, and SAP BTP.
Experience in the utilities or energy industry.
Databricks and/or AWS certification, with Agile delivery experience.
Exposure to NLP, analytics, statistical, or big-data technologies.
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