Contract | AWS Data Solution Architect | Rhode Island (Day one onsite)

Hi,


Hope you are doing great!


Please see the job details below and let me know if you would be interested in this role.

If interested, please send me your resume, your contact details, your availability, and a good time to connect with you.


Position: AWS Data Solution Architect

Location: Rhode Island (Day one onsite)

Long Term


Responsibilities:

  • Analyze and organize raw data, cataloging fields and entities etc.
  • Work closely with client team and assess current state data architecture.
  • Conduct user workshops, collect artifacts other information that would help understate the current state architecture.
  • Ability to identify future state data architecture requirements and perform GAP analysis.
  • Analyze, build, and present future state baselining, suggest areas of improvement.
  • Identify the components required for future data architecture such as meta data mgt, data catalog, data lineage, data governance, master data mgt etc.,
  • Review the overall solution architecture and components.
  • Create & manage periodic reporting of project status and other trackers in standard accepted formats.
  • Build data systems and pipelines using ETL tools (i.e., EMR, GLUE, Athena etc.)
  • Evaluate business needs and objectives with report writers and report consumers.
  • Conduct complex data analysis and collaborate on reporting with BI developers.
  • Prepare data for prescriptive and predictive modeling.
  • Build algorithms and prototypes.
  • Identify opportunities for data acquisition and determine data update velocity.
  • Determines platform architecture, technology, and tools.

Skills:

  • Proven work experience as a Data Architect, Lead Data Analyst .
  • Experience designing and implementing AWS data centric solutions for customers.
  • Insurance domain experience is good to have.
  • A firm understanding of API.
  • 5-10 years of experience in a data engineer or architect role
  • A successful history of manipulating, processing, extracting value form large, disconnected data sets.
  • Experience can include using:
  • SQL and NoSQL databases
  • Data pipeline and workflow management tools
  • AWS cloud services: EC2, EMR, RDS, Redshift
  • Azure cloud services: Synapse, Cloud SQL, Azure Data Lake
  • Stream processing systems: Storm, Spark Streaming, etc.
  • Special format file processing: XML, JSON, fixed format etc.
  • Knowledge of data mining and segmentation techniques.

Regards,


Satyam Biswas

VBeyond Corporation

Recruiter

Contact No: 908-663-2320 | EXT- 270

Direct No: 838-999-9607

E: Satyamb@VBeyond.com | www.vbeyond.com

390 Amwell Road, Suite # 107, Hillsborough, NJ 08844


Note – VBeyond is fully committed to Diversity and Equal Employment Opportunity.

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