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New Requirement Urgent need :: Data Scientist at Remote, Remote, USA
Email: [email protected]
Data Scientist

Minneapolis, MN- Onsite

Contract 12+ months

Work
with business users to obtain data requirements and analyze source systems
data.

Design
and develop conceptual, logical and physical data models for the
operational and analytical data models

Work
closely with the technical and application architects, and developers to
implement the data architecture and application solution

Communicate
physical database designs to, and work with, database administrator to
implement databases

Document
data flows, identify appropriate data sources, entities, relationships and
redundancies.

Manage
data integrity and data quality.

Maintain
technical & business metadata. Generate metadata for Hadoop ingestion
for different ingestion frameworks.

Design
data structures and document data meanings, definitions and intended use,
work with various departments/leaders and data stewards to make the
metadata available.

Define
and document the data architecture for operational databases, reporting
and provisioning platforms, including the physical components and their
functionality

Support
data strategies, standards, guidelines data quality process and governance
across the enterprise

Provide
leadership in researching and architecting emerging technology solutions
to meet business strategies and objectives.

Do you have the skills that will enable you to succeed in
this role

Relational
and dimensional data modeling and database design, Erwin (Data modeling)
skills.

Strong
SQL, Python and some spark knowledge.

Hands
on Hive (Hadoop) experience.

Knowledge
of data architectural approaches, patterns and emerging technologies
(RDBMS, Hadoop and Cloud)

Exposure
and knowledge of Cloud platforms, cloud architecture, capabilities and
processes like GCP, Azure is great asset.

Ability
to translate business needs into technical solutions. Strong Analytical
skills.

Experience
creating architecture and strategy artifacts

Experience
of XML, JSON, Copybook, CSV files ingestion Experience working in Agile
environment

Knowledge
of Data Governance process for metadata and lineage management is strong
asset.

Exposure
to any Data Governance tools like IGC, Collibra is an asset.

Domain
Knowledge in financial Services and enterprise functions is strong asset.

Knowledge
of database administration, database performance tuning, source & target
data structures, ETL processes & products

Data
Concepts & Data Modelling

Data
Modeler / Analyst lead

--

Regards,

Vikas Suhag
https://www.linkedin.com/in/vikas-suhag-47a74921a/

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Keywords: information technology Minnesota
New Requirement Urgent need :: Data Scientist
[email protected]
[email protected]
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12:04 AM 25-Dec-24


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