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Data Engineer Data Warehousing

Product Architect Snowflake cloud data warehouse Dublin, OH

Job in Dublin, Franklin County, Ohio, 43016, USA
Listing for: ESR Healthcare
Full Time position
Listed on 2025-12-30
Job specializations:
  • IT/Tech
    Data Engineer, Data Warehousing
Job Description & How to Apply Below
Position: Product Architect  Snowflake cloud data warehouse Dublin, OH

Product Architect Snowflake cloud data warehouse Dublin, OH

Snowflake cloud data warehouse, Data modelling, ELT using Snowflake, implementing complex stored procedures and standard DWH and ETL concepts.

Experience level: Mid-senior

Experience required: 10 Years

Education level: Bachelor’s degree

Job function: Information Technology

Industry: Information Technology and Services

Pay rate: View hourly pay rate

Total position: 1

Relocation assistance: No

Visa sponsorship eligibility: No

Must have experience with at least two end-to-end implementations of Snowflake cloud data warehouse.

Job Description:

  • Expertise in Data modelling, ELT using Snowflake, implementing complex stored procedures and standard DWH and ETL concepts.
  • Experience in Data Migration from RDBMS to cloud data warehouse.
  • Expertise in Snowflake advanced concepts like setting up resource monitors, RBAC controls, virtual warehouse sizing, query performance tuning, zero copy clone, time travel, and understanding how to use these features.
  • Experience in Data Masking & Security features of Snowflake.
  • Experience in handling Structured & semi-structured data (JSON, XML).
  • Experience with AWS or Azure data storage and management technologies such as S3 and ADLS.
  • Must have experience with Agile development methodologies.
  • Strong written communication skills. Is effective and persuasive in both written and oral communication.
  • Exposure or expertise working in the healthcare domain will be an added advantage.
  • Study as and TO planning along with TCS and customer stakeholders.
  • Build solution architecture, design, reviews.
  • Build processes supporting data transformation, data structures, metadata, dependency, and workload management.
  • Implementation of this architecture.
  • Provide resolution to an extensive range of data pipeline-related problems, proactively and as issues surface.
  • Work with development team and customer teams during the entire execution.
  • Represent as architect to customer on various forums during the lifecycle of the project.
  • Co-ordinate with offshore team during project execution.
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