Spark Engineer

Spark Engineer

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

** Job Description*
* 0AT27R Wells Fargo _DSS_Spark_System Engineer (US L4) Charlotte US B2
-FSNA "Client Team Overview

Our financial services client oversees within a large US bank with presence internationally the Data Pipelines and Automation Services within a Chief Data Office The team our client is leading is responsible for enterprise data platform modernization initiatives spanning data movement automation platform engineering and operational transformation The client is responsible for the bank for enterprise ETL platforms data pipeline frameworks and automation services that enable secure governed and scalable data delivery across hybrid cloud environments The team is executing strategic modernization programs including legacy platform retirement cloud native platform adoption containerization CICD implementation and operational process automation The team for this project is leading the development of a greenfieldbest of breed from scratch next generation enterprise data pipeline platform that unifies data engineering standards governance lineage and deployment across multiple data processing technologies and environments

The project team is building a platform to unify data pipeline execution across the enterprise and leading greenfield platform that requires for engineer roles on the team a strong understanding of APIs Python Sparkflow DocketK8s Automated CICD with Github Actions or other tools composable services data governance and distributed systems The goal is to turn complex systems into clean reusable services via Python

Role Overview

Seeking a System Engineer US L4 to support a greenfield platform initiative with a focus on building integrations with Spark Engine and Spark Flow This role requires strong expertise in system design and development distributed computing and API integrations along with the ability to work independently with minimal guidance in a highly regulated enterprise environment

Key Responsibilities

Design and develop scalable integrations with Spark Engine and Spark Flow for the Unity platform

Develop and consume RESTful APIs and services to enable seamless system interoperability

Work with large scale distributed compute frameworks to process and manage high volume data

Drive performance tuning optimization and scalability improvements

Qualifications

Experience with Apache Spark Spark Engine Spark Flow

Familiarity with big data ecosystems Hadoop Hive SQL Kafka

Exposure to cloud platforms AWS Azure or GCP

Handson experience building and integrating APIs and microservices

Strong problem solving and debugging skills"

The base compensation range for this role in the posted location is: 62,000 - 72,000

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…