Data Engineer- ETL/Python/Pyspark at Capgemini New York, NY

Ellenco Estágios e Treinamentos; New York (NY); On-site; USD 58,903 - 75,464; Full time

Benefits offered by this job

Paid time off

Holidays

Personal days

Sick leave

Health insurance

Retirement plan (401k)

Life and disability insurance

Job summary

Capgemini is seeking a skilled Python, ETL, and PL/SQL Developer to join our Data and Analytics team in the United States. The candidate will design, develop, and maintain ETL processes and data pipelines to support growing data needs.

The role requires 5-6 years of industry experience with data technologies, strong data warehousing knowledge, and proficiency in Python, PL/SQL, and SQL databases. Collaboration with analysts and stakeholders is essential to deliver scalable solutions.

Qualifications

• 5-6 years of industry experience on data technologies.
• Strong understanding of data warehousing concepts.
• Experience with various ETL tools and proficiency in Python, PL/SQL, and database technologies.

Responsibilities

• Design, develop, and maintain ETL processes to extract, transform, and load data into the data warehouse.
• Write complex SQL queries and PL/SQL scripts for data manipulation, validation, and transformation.
• Develop and maintain data pipelines using Python and related libraries (e.g., Polar, Pandas).
• Optimize ETL processes and data pipelines for performance and scalability.
• Collaborate with data analysts and stakeholders to meet data requirements.
• Implement data quality checks and monitoring to ensure data accuracy and consistency.
• Troubleshoot data-related issues.
• Create and maintain technical documentation for ETL processes and databases.
• Stay up-to-date with trends in data management and analytics.

Skills

Python

ETL

PL/SQL/SQL

Data warehousing

Data modeling

Job description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired bya collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizationsunlock the value of technology and build a more sustainable, more inclusive world.

Job Description

We are seeking a skilled and motivated Python, ETL, and PL/SQL Developer to join our Data and Analytics team. Candidate should have 5-6 years of industry experience on data technologies. The ideal candidate will be responsible for designing, developing, and maintaining ETL processes, data pipelines, and database solutions to support our growing data needs. This role requires a strong understanding of data warehousing concepts, experience with various ETL tools, and proficiency in Python, PL/SQL, and database technologies.

Responsibilities

• Design, develop, and maintain ETL processes to extract, transform, and load data from various sources into our data warehouse.
• Write complex SQL queries and PL/SQL scripts to perform data manipulation, validation, and transformation.
• Develop and maintain data pipelines using Python and related libraries (e.g., Polar ,Pandas).
• Optimize ETL processes and data pipelines for performance and scalability.
• Collaborate with data analysts and other stakeholders to understand data requirements and develop solutions to meet their needs.
• Implement data quality checks and monitoring to ensure data accuracy and consistency.
• Troubleshoot and resolve data-related issues.
• Create and maintain technical documentation for ETL processes, data pipelines, and database solutions.
• Stay up-to-date with the latest trends and technologies in data management and analytics.

Skills

• Python, ETL, PL/SQL/SQL Data Warehousing, Data Modeling

The base compensation range for this role in the posted location is:58,903 - 75,464 Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada) Life and disability insurance Employee assistance programs Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Disclaimers Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. 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 accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

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, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.