Snowflake Data Engineer

Must have skills:
Snowflake Data Engineering, Streams Tasks, Dynamic Tables, Snowpipe. Primary Skills

• Advanced SQL CTEs Window Functions MERGE Statements Query Optimization
• Java Integration with Snowflake JDBC Connectors ETLELT Development
• Data Curation Data Modeling
• Multilayer Lakehouse Architecture Raw Curated Consumption
• Data Quality Deduplication Schema Evolution
• Financial Services Data Domain Experience Payments SWIFT Reference Data
• Data Security Masking Compliance
• Data Warehousing Analytics

• Snowpark
• Snowflake Stored Procedures
• DBT
• CICD for Data Pipelines
• Performance Tuning Optimization
• Agile Delivery Methodology

• Snowflake Data Engineering:
  Handson experience designing and implementing data pipelines using Snowflake features including Streams Tasks Dynamic Tables and Snowpipe for automated ingestion and incremental processing.
• SQL Java Integration:
  Strong proficiency in complex SQL window functions CTEs merge statements and experience integrating Java based ETLELT logic with Snowflake via JDBC or Snowflake connectors familiarity with stored procedures and Snowpark is a plus.
• Data Curation Modeling:
  Demonstrated experience building multilayer lake architectures raw curated consumption zones with data quality checks deduplication and schema evolution handling for high volume transactional datasets.
• Financial Domain Data:
  Prior exposure to financial data domains such as payment transactions SWIFT messaging MTMX formats customer inquiry records or bank client reference data understanding of data sensitivity masking and compliance requirements.
• Datastore Orchestration:
  Experience integrating Snowflake pipelines with external data stores eg GCS S3 Azure Blob or relational DBs and orchestration tools e.g. Apache Airflow dbt or equivalent for end-to-end pipeline scheduling.

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.

Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

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The primary focus is to help organizations design, develop, and optimize their data infrastructure and systems. They help organizations enhance data processes, and leverage data effe

Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future.

The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role.

The base salary range for the tagged location is $80420 to $106050 /yearly.

This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.

Note:

No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus,…