Snowflake Data Engineer - DBT

• Responsible for designing developing and maintaining scalable data pipelines and ETL processes using AWS Glue.
• This role involves working closely with data engineers analysts and other IT professionals to ensure data is efficiently integrated transformed and made available for business use, * Design develop and maintain data pipelines and ETL processes using Snowflake AWS services Python and DBT
• Collaborate with data scientists and analysts to understand data requirements and implement solutions
• Optimize data workflows for performance scalability and reliability
• Troubleshoot and resolve datarelated issues in a timely manner
• Stay updated on the latest technologies and best practices in data engineering
• Design and implement scalable ETL solutions using AWS Glue
• Collaborate with data engineers and analysts to understand data requirements
• Develop and manage data extraction transformation and loading processes
• Optimize and improve existing data pipelines and ETL workflows
• Ensure data quality and integrity during the transformation process
• Monitor and troubleshoot issues with ETL jobs
• Maintain detailed documentation of data workflows and processes
• Stay updated with the latest AWS services and tools

• Snowflake Snowpark - The candidate should have a deep understanding of Snowflake data warehousing platform and be proficient in using Snowpark for data processing and analytics
• DBT - Experience with DBT Data Build Tool for modeling data and creating data transformation pipelines is a plus
• AWS services Airflow - The candidate should have handson experience with AWS services particularly Apache Airflow for orchestrating complex data workflows and pipelines
• AWS services Lambda - Proficiency in AWS Lambda for serverless computing and eventdriven architecture is essential for this role
• AWS services Glue - The candidate should be wellversed in AWS Glue for ETL Extract Transform Load processes and data integration
• Fivetran - HVR Working knowledge and handson experience on Fivetran HVR
• Python - Strong programming skills in Python are required for developing data pipelines data transformations and automation tasks, * Bachelors degree in Computer Science Engineering or related field
• Proven experience in data engineering roles with a focus on Snowflake AWS services Python and DBT
• Strong analytical and problem solving skills
• Excellent communication and teamwork abilities
• Technical certifications are a plus
• Bachelors degree in Computer Science Information Technology or a related field
• 3 years of experience working with AWS Glue and other AWS data services
• Proven experience in designing and maintaining ETL processes
• Strong knowledge of SQL and database management
• Familiarity with data warehousing concepts and tools
• Experience with Python or other scripting languages
• Excellent problem solving and analytical skills
• Strong communication and teamwork abilities

Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:

• Flexible work
• Healthcare including dental, vision, mental health, and well-being programs
• Financial well-being programs such as 401(k) and Employee Share Ownership Plan
• Paid time off and paid holidays
• Paid parental leave
• Family building benefits like adoption assistance, surrogacy, and cryopreservation
• Social well-being benefits like subsidized back-up child/elder care and tutoring
• Mentoring, coaching and learning programs
• Employee Resource Groups
• Disaster Relief, 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, commission, or any other form of compensation that are allocable to a particular employee remains in the Company’s sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.