Capgemini
Snowflake Data Engineer - AWS
Capgemini, Raleigh, North Carolina, United States,
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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 data-related issues in a timely manner.Stay updated on the latest technologies and best practices in data engineering.Required Skills
The candidate should have a deep understanding of Snowflake data warehousing platform and be proficient in using Snowpark for data processing and analytics.Experience with DBT Data Build Tool for modeling data and creating data transformation pipelines is a plus.Hands-on experience with AWS services, particularly Apache Airflow for orchestrating complex data workflows and pipelines.Proficiency in AWS Lambda for serverless computing and event-driven architecture is essential for this role.Well-versed in AWS Glue for ETL (Extract, Transform, Load) processes and data integration.Strong programming skills in Python for developing data pipelines, data transformations, and automation tasks.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.Life At Capgemini
Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer: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.About Capgemini
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud, and data, combined with its deep industry expertise and partner ecosystem.Disclaimer
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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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 data-related issues in a timely manner.Stay updated on the latest technologies and best practices in data engineering.Required Skills
The candidate should have a deep understanding of Snowflake data warehousing platform and be proficient in using Snowpark for data processing and analytics.Experience with DBT Data Build Tool for modeling data and creating data transformation pipelines is a plus.Hands-on experience with AWS services, particularly Apache Airflow for orchestrating complex data workflows and pipelines.Proficiency in AWS Lambda for serverless computing and event-driven architecture is essential for this role.Well-versed in AWS Glue for ETL (Extract, Transform, Load) processes and data integration.Strong programming skills in Python for developing data pipelines, data transformations, and automation tasks.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.Life At Capgemini
Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer: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.About Capgemini
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud, and data, combined with its deep industry expertise and partner ecosystem.Disclaimer
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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