Sr Data Engineer
Capgemini
At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
Job Description
About the job you’re considering.
Data Engineer
As a Data Engineer, you will build distributed data processing solution and highly loaded database solutions for various businesses cases including reporting, product analytics, marketing optimization and financial reporting. Contribute as part of self-organized team of experienced data engineers working in a challenging, innovative environment for our client, creating the foundation for decision-making at a company dealing with billions of events per day.
Investigate, create, and implement the solutions for existing technical challenges. Provide guidance, instruction, direction, leadership to a development team with the purpose of achieving project goals.
Your role
- Obtains tasks from the project lead or Team Lead (TL), prepares functional and design specifications, approves them with all stakeholders.
- Ensures that assigned area/areas are delivered within set deadlines and required quality objectives.
- Provides estimations, agrees task duration with the manager and contributes to project plan of assigned area.
- Analyzes scope of alternative solutions and makes decision about area implementation based on his/her experience and technical expertise.
- Leads functional and architectural design of assigned areas. Makes sure design decisions on the project meet architectural and design requirements.
- Addresses area-level risks, provides and implements mitigation plan.
- Reports about area readiness/quality, and raises red flags in crisis situations which are beyond his/her AOR.
- Responsible for resolving crisis situations within his/her AOR.
- Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse.
- Develop and implement data quality checks, conduct QA and implement monitoring routines Improve the reliability and scalability of our ETL processes
- Initiates and conducts code reviews, creates code standards, conventions and guidelines.
- Suggests technical and functional improvements to add value to the product;
- Constantly improves his/her professional level.
- Collaborates with other teams.
Your skills and experience
- University degree in Computer Related Sciences or similar.
- 5+ years experience working in data engineering, business intelligence, or a similar role Proficiency in programming languages Python.
- Expert in Database fundamentals, Advanced proficiency in Complex SQL and distributed computing
- 5+ years of experience in ETL orchestration and workflow management tools like Airflow, Flink, Oozie and Azkaban using AWS/GCP
- Experience in Spark, Snowflake & Databricks.
- Must have ability to debug spark jobs.
- Experience working with Snowflake, Redshift, PostgreSQL and/or other DBMS platforms.
- Excellent communication skills and experience working with technical and non-technical teams.
- Able to clear hacker rank code test.
- Experience in AWS (EC2/S2/IAM).
- Experience working with technical and non-technical teams Knowledge of reporting tools such as Tableau, Superset and Looker.
- Strong python coder with expert data migration experience .
The base compensation range for this role in the posted location is: ( 65,200 to 138,940/year)
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.
Disclaimers
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. 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 accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
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 in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
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, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.