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: Data Architect- with Data Fabrics- NYC- Onsite at NYC, New York, USA
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Harish,

Softcom Systems Inc

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Data Architect

NYC

Onsite 

KEY RESPONSIBILITIES:

     Understand current data platform Within NFRT

     Work With development teams and business partners to understand data use cases.

     Design and architect and execute on Data Fabric / Data Mesh solution

     Evaluate tools, (external or internal) and aid in the development Of tools to enable and     the Data platform

     Design and aid in development Of a data discovery, observability, governance platform.

SKILLS / QUALIFICATIONS

     Bachelor's degree in Computer Science, Software Engineering, Information Technology, or related field.

     10+ years Of work experience in Information Technology and 5+ years working as Data Architect or Data Engineer.

     Experience With designing and implementing modern data platforms (i.e. Data Fabric, Data Mesh, Data Hubs, Data driven environments)

     Experience in highly complex data environments With large data volumes including cloud I Hybrid implementations

     Experience With the design Of data catalogs I dictionaries driven by active metadata

     Strong communication skills both verbal and written. Capable Of collaborating effectively across a variety of IT and Business groups

     Self-starter. Strong problem-solving skills. Ability to identify where focus is needed and bring clarity to business objectives, requirements, and priorities      Experience With Semantic DBS and Knowledge graphs

     Experience with the establishment of Data Fabrics and Data Meshes

     Experience with Collibra

     Experience with one or more Cloudera. Apache Hive, Azure data lake. Snowflake

     Experience with one or more of Databricks, Spark, Airflow, Kafka, Talend, informatica

     Knowledge of one or more Postgres, DB2, MSSQL mongoDB

     Experience with Analytics and Bl Tableau, power Bl

     Expenence With Data science and AIML Jupyter Notebook, Dataiku

Keywords: information technology
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Wed Aug 02 21:16:00 UTC 2023

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