Job DescriptionSenior Data Engineer role to be part of our scrum teams and perform functional & system development for Hadoop applications for our Enterprise Data Lake initiative.
This is high visibility fast paced key initiative will integrate data across internal and external sources, provide analytical insights and integrate with our critical systems.
Essential Responsibilities:
• Participate in the agile development process
• Develop functional and technical specifications from business requirements for the commercial platform
• Ensure application quality and adherence to performance requirements
• Help create project estimates and plans. Represent engineering team in project meetings and solution discussions
• Participate code review process
• Work with team members to achieve business results in a fast paced and quickly changing environment
• Pair up with data engineers to develop cutting edge Analytic applications leveraging AWS, Big Data technologies: Kafka, PySpark/Spark, Hadoop, Shell Scripting, SQL
• Mentor and influence up and down the chain of command
• Perform other duties and/or projects as assigned
Qualifications/Requirements:
• Bachelor's degree in a quantitative field (such as Engineering, Computer Science, Statistics, Econometrics) and a minimum of 9 years of experience
• Minimum 5 years' experience working with and developing big data solutions
• Hands-on experience on AWS, writing shell scripts, complex SQL queries, Hadoop commands, Kafka, Spark, and Git
• Experience with real-time data streaming systems
• Ability to write abstracted, reusable code components
• Programming experience in at least two of the following languages: Scala, Java or Python
Desired Characteristics:
• Strong business acumen
• Critical Thinking and Creativity
• Performance tuning experience
• Willingness to learn new technologies quickly
• Superior oral, and written communication skills, as well as the willingness to collaborate across teams of internal and external technical staff, business analysts, software support and operations staff.
• Strong business acumen including a broad understanding of Synchrony Financial business processes and practices'
The base compensation range for this role in the posted location is: 95,000 - 112,000
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.
It is not typical for candidates to be hired at or near the top of the posted compensation range.
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.
Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
- Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
- Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
- Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
- Life and disability insurance
- Employee assistance programs
- Other benefits as provided by local policy and eligibility
Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.
