Job Information
Capgemini Software Engineer Lead - AI Data Engineer (Marketing Analytics) in New York
Job Location: New York, Atlanta, Chicago, California, Texas and Seattle
Job Title: Marketing Analytics Data Scientist
Job Description:
We are looking for a highly skilled and detail-oriented AI Data Engineer to join our team. The successful candidate will be responsible for designing, building, and maintaining the data infrastructure required for our AI-assisted marketing intelligence tool. This role involves working with large datasets, ensuring data quality, and implementing efficient data pipelines. The ideal candidate will collaborate closely with data scientists, AI architects, and marketing teams to deliver high-quality, scalable data solutions that drive business intelligence and marketing insights.
Key Responsibilities:
Design, build, and maintain scalable data pipelines and ETL processes to support AI and machine learning models.
Ensure the data infrastructure is robust, secure, and optimized for performance.
Integrate data from various sources (e.g., databases, APIs, external datasets) into a centralized data repository.
Implement data management best practices, including data governance, data quality, and data security.
Optimize data processing workflows for performance, scalability, and reliability.
Evaluate and recommend new tools and technologies to improve the data engineering process.
Stay ahead of with the latest advancements in data engineering, big data technologies, and cloud platforms.
Build and lead dashboards and reports to track data pipeline performance and key metrics.
Required Skills
Proven experience in data engineering, big data (Hadoop, Hive, Spark, etc.), or a related field.
Proficiency in programming languages such as Python, Java, or Scala.
Solid understanding of SQL and relational databases (e.g., MySQL, PostgreSQL).
Experience with data warehousing solutions (e.g., Redshift, BigQuery, Snowflake).
Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and data services.
Familiarity with containerization (e.g., Docker) and orchestration (e.g., Kubernetes).
Familiarity with marketing principles and strategies.
Experience working with marketing data and understanding marketing analytics.
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:
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
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. The Group reported 2023 global revenues of €22.5 billion.
Get The Future You Want | www.capgemini.com
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.
Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
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.
Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.
Job: Programmer/Analyst
Organization: I&D
Title: Software Engineer Lead - AI Data Engineer (Marketing Analytics)
Location: New York
Requisition ID: 076087