Capgemini – AWS Sr Data Engineer_D1 – Horsham, PA ID-177

Job description: Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 300,000 team members in nearly 50 countries. With its strong 50-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2020 global revenues of €16 billion.

Get The Future You Want |

Data Engineer

Location: Horsham, PA

Travel/Relocation/Remote: (WFH presently — relocation will be requested post-pandemic)

Employment Terms: Fulltime + bonus + benefits

Job description:

Provides expert level development system analysis design and implementation of applications using AWS services specifically using Python for Lambda

Proficiencies

• Translates technical specifications and or design models into code for new or enhancement projects for internal or external clients
• Develops code that reuses objects is well structured includes sufficient comments and is easy to maintain
• Provides follow up Production support when needed
• Submits change control requests and documents
• Participates in design code and test inspections throughout life cycle to identify issues and ensure methodology compliance
• Participates in systems analysis activities including system requirements analysis and definition eg: prototyping
• Participates in other meetings such as those for use case creation and analysis
• Performs unit testing and writes appropriate unit test plans to ensure requirements are satisfied
• Assists in integration systems acceptance and other related testing as needed
• Ensures developed code is optimized in order to meet client performance specifications associated with page rendering time by completing page performance tests

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Technical Skills Required

• Experience in building large scale batch and data pipelines with data processing frameworks in AWS cloud platform using PySpark on EMR Glue ETL
• Deep experience in developing data processing data manipulation tasks using PySpark such as reading data from external sources merge data perform data enrichment and load in to target data destinations
• Experience in deployment and operationalizing the code using CI CD tools Bitbucket and Bamboo
• Strong AWS cloud computing experience Extensive experience in Lambda S3 EMR Redshift
• Should have worked on Data Warehouse Database technologies for at least 4-8 years
• Any AWS certification will be an added advantage

What we offer:

Your career matters to you and is important to us too. Because your goals and needs are constantly evolving, we offer visibility, leeway and support to help you grow and progress in your career. This approach builds notably on our comprehensive competency framework, our personal development, training and career management programs, and our University innovative and business-focused learning curriculums.

We promote a culture of diversity. We believe working with talented individuals from different backgrounds and points of view is a strategic advantage and an ongoing opportunity. Diversity enriches our creative solutions and adds value for our clients.

With the digital tech sector growing at a rapid pace and women significantly underrepresented in the industry, we are determined to inspire and recruit more women into technology and build diverse teams that reflect the clients we serve.

Our Shared values have been at the heart of the group since our formation. They are honesty, boldness, trust, freedom, team spirit, modesty and fun. These values influence the way we meet client needs while respecting the regulatory requirements of each country in which we operate, and the way we promote ethically sound practices within Capgemini and in our partnerships.

Capgemini is committed to building a workforce of employees with diverse backgrounds and work experiences. We strongly encourage women, veterans and active military service personnel to apply.

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.

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 new sponsorship of a visa for employment authorization in the US by Capgemini.