Software Engineer Lead - New York, United States - Capgemini

Description

Software Engineer Lead - AI Data Engineer (Marketing Analytics Description

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:
o Design, build, and maintain scalable data pipelines and ETL processes to support AI and machine learning models.
o Ensure the data infrastructure is robust, secure, and optimized for performance.
o Integrate data from various sources (e.g., databases, APIs, external datasets) into a centralized data repository.
o Implement data management best practices, including data governance, data quality, and data security.
o Optimize data processing workflows for performance, scalability, and reliability.
o Monitor and troubleshoot data pipelines to ensure continuous data flow and accuracy.
o Evaluate and recommend new tools and technologies to improve the data engineering process.
o Stay current with the latest advancements in data engineering, big data technologies, and cloud platforms.
o Maintain comprehensive documentation of data pipelines, architecture, and workflows.
o Create and manage dashboards and reports to track data pipeline performance and key metrics.
o Oversee data infrastructure development, ensuring that data pipelines, ETL processes, and data repositories are designed, built, and maintained efficiently.
o Ensure data quality, integrity, and availability for data scientists and machine learning models.
o Integration of various data sources, managing data storage solutions, and optimizing data processing workflows.

Required Skills
o 3+ years of experience in data engineering, big data, or a related field.
o 5+ years of data engineering experience with Big Data (Hadoop, Hive, Spark, etc.), preferably with digital data sources (Facebook, Instagram, Adobe, Google, DV360, etc.)
o Proficiency in programming languages such as Python, Java, or Scala.
o Experience with big data technologies (e.g., Apache Spark, Hadoop, Kafka).
o Strong knowledge of SQL and relational databases (e.g., MySQL, PostgreSQL).
o Experience with data warehousing solutions (e.g., Redshift, BigQuery, Snowflake).
o Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and data services.
o Familiarity with containerization (e.g., Docker) and orchestration (e.g., Kubernetes).

• Marketing Domain Knowledge:
o Familiarity with marketing principles and strategies.
o 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

In a world where change happens in a split second, our clients must master the art of balancing business transformation with operational excellence and cost reduction to protect their market leadership and safeguard their workforce.
They need the best and brightest talent to limit business disruption and foster future growth, all while striving to realize a new normal. In this context, it's our people within Insights & Data that are the core enablers to support our clients in their growth journeys. To give our clients our best and brightest, we pride ourselves on being a fast-paced, fun, ethical place to work, where the "work hard, play hard" mentality holds true. Even more important is our clear commitment to creating a diverse workforce in all areas. In fact, for the ninth time in a row, Capgemini has been recognized as one of the World's Most Ethical Companies by the Ethisphere Institute. In addition, we've been recognized as a top company for women by Working Mother Media.
Capgemini's Insights & Data Americas practice is comprised of professionals with data, analytics, and AI expertise, covering the full data- and AI-powered transformation lifecycle. Our people extend into all industries we conduct work with our clients in the areas of; data science, data engineering, data strategy, intelligent process automation, data ecosystems, intelligent industry/IoT, enterprise management, customer-first marketing, and data partnerships/disruptors (such as SAP, Microsoft, Google, AWS, Snowflake, Oracle, Adobe, etc.).

We do great work at I&D that is at the forefront of innovation. We pride ourselves as an inclusive, talented, and accomplished workforce, so please contact us to explore your fit with us.

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.

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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

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.

Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority,performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is to $140,000. This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.

Job

:Programmer/Analyst

Schedule

:Full-time

Primary Location

:US-New York

Organization

:I&D