Senior ETL Developer

# Senior ETL Developer New York Apply for this job
* Permanent* Experienced Professionals
* Data & AI
* -en US 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 by a 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 organizations unlock the value of technology and build a more sustainable, more inclusive world.##

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* Location:

Newark, NJ.**##
** Role Summary
** We are looking for a skilled ETL Developer to design, develop, and maintain scalable data pipelines within the I&D (Insights & Data) ecosystem. The role involves transforming raw data into meaningful insights by building robust ETL workflows, ensuring data quality, and supporting analytics, BI, and reporting needs.##
** Key Responsibilities
**** ETL Development & Data Engineering
*** Design, build, and optimize ETL/ELT pipelines using tools like Informatica, Talend, SSIS, Data Stage, or similar
* Extract data from various sources (databases, APIs, flat files, cloud storage)
* Transform data according to business rules and load into data warehouses/data lakes
* Develop reusable and scalable data workflows
** Data Management & Quality
*** Ensure data accuracy, consistency, and integrity
* Implement data validation and cleansing logic
* Handle large datasets and optimize performance for batch and streaming processes
** Cloud & Modern Data Platforms
*** Work with cloud platforms like Azure (ADF, Synapse), AWS (Glue, Redshift), GCP (Dataflow, Big Query)
* Build and maintain data lake architectures
* Work on ELT using SQL-based transformations
** Collaboration & Stakeholder Engagement
*** Collaborate with Data Analysts, BI Developers, Data Scientists, and Business Teams
* Understand data requirements and translate them into technical solutions
* Support reporting and dashboard needs
** Performance Optimization & Maintenance
*** Troubleshoot ETL failures and data issues
* Optimize pipeline performance and scheduling
* Automate workflows and monitoring processes.

The base compensation range for this role in the posted location is: $105,000 - $115,000

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  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…