Bigdata Developer

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.

Role Overview

We are looking for a Senior Big Data Developer with 5+ years of experience in big data engineering, API integration, and AI-assisted development. The ideal candidate will design, build, and maintain scalable data pipelines and backend systems in a enterprise environment.

Key Responsibilities

• Big Data & Spark
  Design and develop Spark-Scala applications for large-scale data processing on Hadoop/CDP clusters
  Build and optimize ETL/ELT pipelines using Spark DataFrames, Datasets and Spark SQL
  Tune Spark jobs for performance (partitioning, caching, broadcast joins, shuffle optimization)
  Migrate Spark 2 applications to Spark 3 on Cloudera CDP platforms
  Work with Parquet, ORC, Avro file formats on HDFS
• SQL & Data Engineering
  Write complex HiveQL / Spark SQL queries including window functions, CTEs, subqueries and aggregations
  Design and maintain Hive external/managed tables and partitioned datasets
  Optimize slow-running queries and resolve correlated subquery issues
  Work with HDFS encryption zones and data governance requirements
• Unix / Shell Scripting
  Develop and maintain bash shell scripts for job orchestration and automation
  Handle error management, return codes, logging and alerting in shell scripts
  Manage HDFS operations (hdfs dfs commands), file transfers, and data validation
  Manage Kerberos authentication (kinit, keytab handling)
• API Extraction & Integration
  Build scripts and pipelines to extract data from REST APIs using curl and Python
  Handle OAuth2 token generation, bearer token refresh and API health checks
  Parse and process JSON API responses and load into HDFS/Hive
  Manage pagination, error handling and retry logic for API calls
  Work with enterprise API gateways and URL parameter construction
• AI & Copilot Capabilities
  Leverage GitHub Copilot / AI coding assistants to accelerate development
  Use AI tools for code review, SQL generation, script debugging and documentation
  Contribute to AI-assisted data quality and anomaly detection pipelines
  Explore and implement LLM-based automation for repetitive data engineering tasks
• Scheduling & Orchestration
  Schedule and manage jobs using AAP (Ansible Automation Platform) / Control-M / cron
  Build and maintain Ansible playbooks for automated deployments
  Manage deployment pipelines including artifact versioning, Vault secret injection and environment-specific configuration
  Monitor job health, handle failures and implement alerting

Nice to Have

• Experience with Cloudera CDP (7.x) and migration from HDP
• Knowledge of Kerberos, Vault, HDFS encryption zones
• Familiarity with CI/CD pipelines (Helios, GitHub Actions)
• Experience with MSSQL / JDBC connectivity from Spark
• Understanding of AML / Financial regulatory data domains.

The base compensation range for this role in the posted location is: 79,000 to 102,000.

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.

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.  

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.