Location: Hybrid to the closest Capgemini office We are seeking a Senior Engineer who will be responsible for crafting distributed data processing solutions and highly loaded database solutions for various arguments, cases, reasons, such as reporting, product analytics, marketing optimization, and financial reporting. Chip in as part of a self-organized team of experienced data engineers working in an exciting, innovative environment for our client, crafting the foundation for decision-making at a company dealing with billions of events per day.
Investigate, build, and implement the solutions for existing technical challenges. Provide mentorship, instruction, direction, leadership to a development team with the purpose of achieving project goals.
Key Responsibilities: Obtains tasks from the project lead or Team Lead (TL), prepares functional and design specifications, approves them with all partners.
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 the project plan of assigned area.
Analyzes scope of alternative solutions and makes decisions about area implementation based on their experience and technical expertise.
Leads functional and architectural design of assigned areas. Ensures design decisions on the project meet architectural and design requirements.
Addresses area-level risks, provides and implements mitigation plans.
Reports about area readiness/quality, and raises red flags in crisis situations which are beyond their AOR.
Responsible for resolving crisis situations within their AOR.
Initiates and conducts code reviews, creates code standards, conventions, and guidelines.
Suggests technical and functional improvements to make valuable contributions for customers and improve their professional growth.
Collaborates with other teams.
Required Skills: 8-10 years of professional experience with a University degree in Computer Related Sciences or similar.
Advanced proficiency in Complex SQL and in-depth knowledge of Data Migration.
Proficiency in Python programming languages, Spark, Snowflake, and Databricks. Databricks certification is required.
Experience working with Redshift, PostgreSQL, and/or other DBMS platforms.
3+ years of experience with the Distributed data/similar ecosystem (Hive, Presto) and/or streaming technologies such as Kafka/Flink.
Expert in Database fundamentals, SQL, and distributed computing. Excellent communication skills and experience working with technical and non-technical teams.
Experience in AWS (EC2/S3/IAM).
Candidate will have to clear a HackerRank code test.
3+ years of experience in ETL orchestration and workflow automation management tool Airflow.
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:
Collaborating with teams of creative, fun, and driven colleagues
Flexible work options enabling time and location-based flexibility
Company-provided home office equipment
Virtual collaboration and productivity tools to enable hybrid teams
Comprehensive benefits program (Health, Welfare, Retirement, and Paid time off)
Other perks and wellness benefits like discount programs and gym/studio access.
Paid Parental Leave and coaching, baby welcome gift, and family care/illness days
Tuition assistance and weekly hot skill development opportunities
Experiential, high-impact learning series events
Access to mental health resources and mindfulness programs
Access to join Capgemini Employee Resource Groups around communities of interest
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.
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.
When you join Capgemini, you don’t just start a new job. You become part of something bigger.
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