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Architect, Data Engineer

Job in New York, New York County, New York, 10261, USA
Listing for: Capgemini
Full Time position
Listed on 2025-12-31
Job specializations:
  • IT/Tech
    Data Engineer, Data Warehousing
Salary/Wage Range or Industry Benchmark: 99712 USD Yearly USD 99712.00 YEAR
Job Description & How to Apply Below
Location: New York

This range is provided by Capgemini. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$99,712.00/yr - $/yr

Sr. Consultant, Talent Acquisition North America - Financial Services Strategic Business Unit at Capgemini

Job Description:

Responsibilities
  • 10+ years of IT Experience in BFSI and Insurance.
  • Extensive experience on Data Engineering field including ingestion, Data lake, Data warehouse, reporting and analytics.
  • Strong knowledge and experience on Data Analysis, Big Data Pipelines, Data reconciliation, Data transformation rules, data flow diagram including data replication, data integration and data orchestration tools.
  • Hands-on experience in migrating other databases to Snowflake using AWS/Azure.
  • Experience in Snowflake utilities - Snow SQL, Snowpark, Snow Pipe, Tasks, Streams, Stored Procedures, Time-Travel, Resource Monitor, Data sharing, zero-copy cloning, Data Masking and Data Replication.
  • Extensive knowledge in Snowflake query and cost optimization techniques.
  • Knowledgeable in Snowflake on Cloud Platform Administration and Account setup.
Qualifications
  • 10+ years of IT experience in BFSI and Insurance domains.
  • Extensive data engineering experience including ingestion, data lake/warehouse, reporting, and analytics.
  • Strong ability in data analysis, big data pipelines, data reconciliation, data transformation rules, data flow diagrams, data replication, integration, and orchestration tools.
  • Hands-on Snowflake migration experience from other databases using AWS or Azure.
  • Proficient with Snowflake utilities (SnowSQL, Snowpark, Snow Pipe, Tasks, Streams, Stored Procedures, Time Travel, Resource Monitor, Data Sharing, Zero-Copy Cloning, Data Masking, Data Replication).
  • Knowledge of Snowflake query optimization and cost control techniques.
  • Cloud platform administration and account setup for Snowflake.

Note:

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