Long Description

Key ResponsibilitiesApplication Development
Design, develop, and maintain high-performance Java-based applications and data processing solutions.
Build scalable backend services and distributed processing frameworks using Core Java and Apache Spark.
Develop reusable, maintainable, and testable code following software engineering best practices.
Participate in architecture discussions and contribute to technical design decisions.
Data Engineering & Distributed Computing
Design and develop batch and real-time data processing pipelines using Apache Spark.
Process and analyze large-scale datasets efficiently across distributed environments.
Optimize Spark jobs for performance, scalability, resource utilization, and reliability.
Work with structured, semi-structured, and unstructured data sources.
Develop data transformation, enrichment, and aggregation solutions to support business analytics and operational needs.
Database & SQL Development
Design, develop, and optimize complex SQL queries.
Analyze large datasets and identify opportunities for improving data quality and performance.
Perform query tuning and database optimization for high-volume workloads.
Collaborate with data architects and business stakeholders to define data models and processing requirements.
Analytical & Problem-Solving
Analyze business requirements and translate them into scalable technical solutions.
Conduct root-cause analysis for production issues and implement long-term fixes.
Identify performance bottlenecks within applications, Spark workloads, and database systems.
Support data validation, quality assurance, and reconciliation efforts.
AI-Assisted Development & Emerging Technologies
Leverage modern AI-assisted development tools to improve engineering productivity and code quality.
Build and support applications through effective prompt engineering, contextual data management, and foundational model evaluation.
Participate in testing and validation of AI-enabled workflows and solutions.
Collaborate with teams exploring generative AI and intelligent automation use cases.
Collaboration & Leadership
Collaborate with architects, product owners, data engineers, analysts, and business stakeholders.
Mentor junior developers and provide technical guidance across projects.
Participate in Agile ceremonies including sprint planning, estimation, code reviews, and retrospectives.
Contribute to engineering standards, documentation, and best practices.

Required Qualifications

Bachelor's degree in Computer Science, Information Technology, Engineering, Mathematics, or a related field.
7+ years of professional software development experience.
Strong expertise in Core Java application development.
Hands-on experience developing and optimizing Apache Spark applications.
Experience building enterprise-grade distributed systems and large-scale data processing solutions.
Strong understanding of object-oriented programming principles and software design patterns.
Strong SQL development skills with experience writing and optimizing complex queries.
Experience analyzing and manipulating large datasets.
Knowledge of data modeling and data pipeline design principles.
Strong understanding of Linux/Unix environments.
Experience with source control systems such as Git.
Technical Skills
Programming
Core Java (Java 8/11/17+)
Collections Framework
Multithreading & Concurrency
JVM Performance Tuning
Object-Oriented Design
Big Data & Distributed Processing
Apache Spark
Spark SQL
Spark DataFrames and Datasets
Distributed Computing Concepts
Large-Scale Data Processing
Performance Optimization
Databases & Data Technologies
SQL
Oracle
SQL Server
PostgreSQL
MySQL
Data Warehousing Concepts
Query Optimization
Development & DevOps
Git
Maven / Gradle
CI/CD Pipelines
Linux / Unix

The base compensation range for this role in the posted location is: 70000 to 95000

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.