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Urgent! frog Data Engineering Strategy - Sr. Consultant Job Opening In New York – Now Hiring Capgemini
**_About Capgemini Invent:_**
At Capgemini Invent, we believe difference drives change.
As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions.
Join us to drive transformation tailored to our client's challenges of today and tomorrow.
Informed and validated by science and data.
Superpowered by creativity and design.
All underpinned by technology created with purpose.
frog is a leading global creative consultancy, part of Capgemini Invent.
We challenge the status quo to craft and build human experiences that win hearts and move markets.
Partnering with passionate leaders and visionary entrepreneurs, we apply creativity, strategy, design and data to re-invent businesses, drive growth and orchestrate customer centric transformation.
Together we strive to shape a regenerative future that is both sustainable and inclusive for businesses, people and planet.
**YOUR ROLE**
We are seeking a skilled and proactive **Data Engineer & Strategist** to join our innovative team at frog, part of Capgemini.
In this crucial role, **_you will be responsible for designing, building, and maintaining robust and scalable data pipelines and infrastructure._** Your work will ensure that high-quality data is readily available to our data scientists, analysts, and client-facing teams, enabling them to derive insights and develop data-driven solutions.
You will collaborate closely with cross-functional teams to understand data requirements and deliver resilient data systems that power our projects.
**Key Responsibilities:**
+ **Data Pipeline Development & Management:**
+ Design, construct, install, test, and maintain highly scalable data management systems and ETL/ELT pipelines.
+ Integrate new data sources and develop processes for ingesting, transforming, and loading large volumes of structured and unstructured data.
+ Ensure data quality, integrity, and reliability across all data pipelines and systems.
+ **Data Infrastructure & Architecture:**
+ Develop and maintain data warehouse and data lake solutions, optimizing for performance and cost.
+ Design and implement data models, schemas, and database structures to support analytical, operational, and machine learning use cases.
+ Evaluate and implement appropriate data storage solutions, including relational databases, NoSQL databases, and cloud storage services.
+ **Automation & Optimization:**
+ Automate data collection, processing, and delivery workflows to improve efficiency and reduce manual intervention.
+ Monitor system performance, troubleshoot data-related issues, and implement optimizations to enhance reliability and speed.
+ Implement and manage data governance and security best practices.
+ **Collaboration & Support:**
+ Collaborate with data scientists, data analysts, software engineers, and project managers to understand data needs and translate them into technical solutions.
+ Provide technical expertise and support for data-related initiatives across various projects.
+ Document data architectures, pipeline designs, and operational procedures.
**We Want You to Have:**
+ Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related technical field.
+ 3 years of proven experience in a Data Engineering role, with a strong focus on building and maintaining data pipelines and infrastructure.
+ Proficiency in programming languages commonly used in data engineering, such as Python, Java, or Scala.
+ Strong experience with SQL and database technologies (e.g., PostgreSQL, MySQL, NoSQL databases like MongoDB, Cassandra).
+ Must possess experience in leveraging AI/GenAI and data to enhance decision-making, automate processes, and drive operational efficiency across the organization.
+ Hands-on experience with ETL/ELT tools and frameworks (e.g., Apache Airflow, Talend, Informatica, Azure Data Factory, AWS Glue).
+ Experience with big data technologies (e.g., Hadoop, Spark, Kafka).
+ Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud Platform) and their data services (e.g., S3, Redshift, BigQuery, Databricks).
+ Understanding of data modeling, data warehousing, and data lake concepts.
+ Excellent problem-solving skills and a meticulous attention to detail.
+ Strong communication and collaboration skills.
**It Would Be a Bonus If You Had:**
+ Experience with containerization technologies (e.g., Docker, Kubernetes).
+ Knowledge of CI/CD pipelines and DevOps practices.
+ Experience with stream processing technologies (e.g., Kafka Streams, Spark Streaming, Flink).
+ Familiarity with data governance and data security best practices.
+ Experience working in an agile development environment.
+ Interest in working closely with creative and design-focused teams.
**WHAT YOU’LL LOVE ABOUT WORKING HERE?**
**_Empowerment:_** _At Capgemini Invent, we:_
· _Lead the change and take initiative_
· _Find the work-life balance that suites us_
· _Craft or own path through learning and career development programs_
**_Energy:_** _At Capgemini Invent, we:_
· _Connect as a global community of 13,000 colleagues worldwide_
· _Celebrate our diverse perspectives and draw from strength from our differences_
· _Have fun by providing a range of clubs, events and get togethers to celebrate our wins and successes_
**_Experiences_** _: At Capgemini Invent, we:_
· _Work internally and with clients to make a difference_
· _Push boundaries to reimagine what’s possible_
· _Work to build a more sustainable and inclusive future_
**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 Invent**
As the digital innovation, design and transformation brand of the Capgemini Group, Capgemini Invent enables CxOs to envision and shape the future of their businesses.
Located in over 30 studios and more than 60 offices around the world, it comprises a 12,500 strong team of strategists, data scientists, product and experience designers, brand experts and technologists who develop new digital services, products, experiences and business models for sustainable growth.
Capgemini Invent is an integral part of Capgemini, 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.
The Group reported 2024 global revenues of €22.1 billion.
Get The Future You Want
**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.
Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
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:** _Technology Strategy_
**Organization:** _INVENT PEOPLE S&T_
**Title:** _frog Data Engineering Strategy - Sr. Consultant_
**Location:** _NY-New York_
**Requisition ID:** _079769_
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Unlock Your frog Data Potential: Insight & Career Growth Guide
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Great news! Capgemini is currently hiring and seeking a frog Data Engineering Strategy Sr. Consultant to join their team. Feel free to download the job details.
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The fundamental ethical values are:The average salary range for a frog Data Engineering Strategy Sr. Consultant Jobs United States varies, but the pay scale is rated "Standard" in New York. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
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