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Job Description:

The Sr. Software Engineer will architect and develop scalable data pipelines using ETL tools, ensuring efficient data extraction, transformation, and loading processes from multiple sources. Design and optimize data warehousing solutions to support high-performance data analytics, reporting, and business intelligence needs. Implement cloud-based solutions in AWS, leveraging services such as S3, Redshift, Lambda, Glue, and EMR for processing, storage, and integration of data at scale.

Key Responsibilities:

• Utilize the HashiCorp stack (Terraform, Vault, Consul, etc.) to manage infrastructure as code, ensuring secure and scalable deployments across cloud environments.

• Collaborate closely with cross-functional teams, including domain experts in cable construction, to capture data requirements and design solutions that meet both technical and business objectives.

• Integrate microservices architecture with data engineering pipelines to enhance modularity, scalability, and the robustness of the overall system.\

• Develop and maintain data pipelines using Python and PySpark for batch and real-time data processing.

• Ensure data quality by implementing rigorous data validation, monitoring, and transformation processes.

• Perform ETL pipeline optimization for improved performance, reliability, and scalability, addressing issues proactively to minimize downtime.

• Lead technical discussions and provide strategic input to improve data architecture and workflows, bringing innovation to the team.

• Mentor junior engineers, sharing best practices in cloud-based data engineering and pipeline automation.'

REQUIRED SKILLS:

• 7 years of experience in data engineering, with at least 3 years working in AWS environments.

• Experience in Python and PySpark for data transformations and processing.

• Proficient in using HashiCorp tools like Terraform, Vault, and Consul for infrastructure management and security.

• Strong proficiency in data warehousing concepts, data modeling, and database performance optimization.

• Advanced experience with ETL pipeline development, particularly with Pentaho or similar tools.

• Knowledge of the cable construction domain and its specific data challenges.

• Experience in designing and integrating microservices architecture into ETL and data pipelines.

• Experience with CI/CD pipelines, version control (Git), and Agile methodologies.

• Strong skills in SQL for querying, optimizing, and maintaining relational databases.

• Excellent communication skills with the ability to convey complex technical concepts to both technical and non-technical stakeholders

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: Developer

Organization: NA APPS LOC PRACTICE

Title: Test Lead - Sr. Software Engineer (Python & AWS)

Location: PA-Philadelphia

Requisition ID: 077950