Senior Data Engineer

Capgemini; New York (NY); On-site; USD 85,000 - 95,000; Full time

Benefits offered by this job

Paid time off

Company holidays

Personal days

Health insurance

401(k) retirement plan

Life and disability insurance

Employee assistance program

Job summary

Capgemini is seeking a Senior Data Engineer in New York to build and optimize data pipelines using Python, PySpark, and AWS services. You will design batch data ingestion and work with Glue, Lambda, S3, Redshift and Databricks, ensuring scalable, secure data platforms and governance.

You will collaborate across teams, contribute to DevOps CI/CD, and leverage Kafka/Spark Streaming and DBT for real-time and transformation needs.

Qualifications

• Hands-on programming in Python and PySpark.
• Advanced SQL with query optimization techniques.
• Strong understanding of AWS and distributed computing paradigms.
• Design and develop data ingestion programs to process large data sets in batch mode using Glue, Lambda, S3, Redshift and Databricks.
• Basic understanding of IAM roles, security and AWS infrastructure.
• Experience with large-scale data platforms on AWS.
• Familiar with DevOps pipelines using Jenkins and GitLab and strong data modeling and data architecture knowledge.
• Sound knowledge of data governance principles and tools (Alation, Glue, Data Quality Mesh).
• Ability to propose solution architecture for diverse applications.
• Nice to have real-time ingestion using Kafka, Spark Streaming and related technologies; knowledge of DBT.

Responsibilities

• Develop and maintain data ingestion pipelines for large datasets.
• Collaborate on batch and near-real-time data processing solutions.
• Contribute to data governance, architecture, and modeling.
• Support DevOps practices and CI/CD for data products.
• Advise on suitable technologies and infrastructure choices.

Skills

Python

PySpark

SQL

AWS

Data ingestion

IAM security

DevOps

Data governance

Solution architecture

Kafka

Tools

Glue

Lambda

S3

Redshift

Databricks

Kafka

Spark Streaming

DBT

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 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.

Job Description

Senior Data Engineer should have experience with

• Hands on programming experience in python and PYSpark
• Advanced SQL skills with query optimization techniques
• Strong understanding of AWS and distributed computing paradigms
• ability to design and develop data ingestion programs to process large data sets in Batch mode using Glue Lambda S3 redshift and data bricks
• Basic understanding of IAM roles security and AWS infrastructure
• Hands on experience to work with large scale data platforms in development of cloud solutions in AWS data platform with proven track record in driving business success
• Understanding of Dev Ops Pipelines using Jenkins GitLab should be strong in data modelling and Data architecture concepts well versed with Project management tools and Agile Methodology
• Sound knowledge of data governance principles and tools alationglue data quality mesh
• Capable of suggesting solution architecture for diverse technology applications
• Additional relevant skills given below are highly valued Good to have
• Ability to develop data ingestion programs to ingest realtime data from LIVE sources using Apache Kafka Spark Streaming and related technologies
• Understanding of DBT Data Build Tool for data transformation and modeling

The base compensation range for this role in the posted location is: 85,000 - 95,000

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.

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 LeaveMedical, 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.

DisclaimersCapgemini 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.

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.