Data Engineer
Apache Airflow
Big Data
Bigdata
Cloud
Cloud Data Engineering
Cloud Data Platform
Cloud Infrastructure
Cloud Platform
Cloud Platforms
Cloud Technology
Data
Data Analysis
Data Analytics
Data Architecture
Data Engineer
Data Engineering
Data Integration
Data Lakehouse
Data Pipeline
Data Pipelines
Data Platform
Data Processing
Data Warehouse
Database
Databases
Databricks
DevOps
DevSecOps
ETL
Informatica
Information Technology (IT)
Infrastructure As Code
Kafka
Spark
SQL
Stream Processing
Streaming Data
Workflow Orchestration
Job Description
Capgemini is hiring a Data Engineer to build and optimize cloud-based data pipelines and architectures supporting analytics and data-driven decisions.
Responsibilities
- Design, develop, and maintain scalable ETL/ELT data pipelines using AWS services
- Develop and optimize batch and real-time data processing systems
- Ensure data quality, integrity, and governance across data systems
- Translate business requirements into technical solutions with stakeholders
- Implement data integration across multiple sources and formats
- Monitor and troubleshoot data workflows to improve performance and reliability
- Optimize costs and performance for AWS/GCP data infrastructure
- Collaborate with data scientists, analysts, and DevOps teams
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related field
- 3-8+ years of experience in data engineering or related roles
- Proficiency in SQL and at least one programming language: Python, Scala, or Java
- Experience with ETL tools and frameworks
- Solid understanding of data modeling, warehousing, and big data concepts
- Familiarity with distributed processing frameworks: Spark and Hadoop
- Experience with CI/CD pipelines and version control (Git)
Technologies
- AWS, GCP, Databricks, Snowflake, DBT
- SQL, Python, Scala, Java
- ETL, ELT, Spark, Hadoop
- Git, CI/CD
- Terraform, CloudFormation
- Kafka, Power BI, Tableau
Preferred Qualifications
- Experience with Apache Spark, Kafka, or Databricks
- Knowledge of data governance, security, and compliance
- Familiarity with infrastructure as code (Terraform, CloudFormation)
- AWS certifications such as AWS Certified Data Engineer or AWS Certified Solutions Architect
- Experience with BI tools including Power BI and Tableau
Nice to Have
- Experience with machine learning data pipelines
- Knowledge of real-time analytics and streaming architectures
- Exposure to multi-cloud or hybrid environments
Key Competencies
- Strong problem-solving and analytical skills
- Excellent communication and collaboration abilities
- Attention to detail and commitment to data quality
- Ability to work in a fast-paced, agile environment
Benefits
- Paid time off based on employee grade (A-F) per 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
Location: New York, NY (onsite) | Compensation: USD 70,000 - 95,000 per year
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