Capgemini

AWS Data Engineer

Capgemini$80K — $106K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in cloud data architecture and development
  • Strong expertise in AWS services such as S3, Redshift, Glue, and DynamoDB
  • Proficiency in ETL/ELT pipeline design and implementation
  • Experience with Spark, Python, and Scala for data transformation
  • Familiarity with DevOps tools like GitHub Actions, Terraform, and Jenkins
  • Knowledge of data governance and security compliance best practices
  • Effective collaboration skills with technical and non-technical stakeholders

Responsibilities

  • Design and implement scalable data architectures on AWS
  • Build and maintain ETL/ELT pipelines for diverse data sources
  • Develop real-time and batch ingestion pipelines using AWS technologies
  • Utilize Spark and AWS tools to create data transformation workflows
  • Implement automated data quality checks and validation measures
  • Manage data lakes and warehouses, ensuring performance and efficiency
  • Collaborate with teams to troubleshoot data issues and provide technical guidance

Benefits

  • Paid time off including vacation days, company holidays, and sick leave
  • Comprehensive medical, dental, and vision coverage
  • Retirement savings plans, including a 401(k) option
  • Life and disability insurance coverage
  • Access to employee assistance programs
Full Job Description
Job Location

Job is located in New Jersey - Onsite Hybrid

Your Role

1 Cloud Data Architecture Development

Design and implement scalable data architectures using AWS services S3 Redshift Glue Athena EMR DynamoDB
Build optimize and maintain ETLELT pipelines for structured and unstructured data
Develop realtime and batch ingestion pipelines using AWS Glue Lambda Kinesis or Kafka

2 Data Processing Transformation

Utilize Spark AWS EMRGlue Python or Scala to build transformation workflows
Implement data quality checks validation rules and automated errorhandling mechanisms
Ensure data is optimized for analytics BI and ML use cases

3 Data Warehouse Lakehouse Management

Build and maintain data lakes on Amazon S3 and data warehouses on RedshiftSnowflake
Create and optimize database schemas partitioning compression and performance tuning
Manage metadata cataloging and data lineage via AWS Glue Data Catalog or similar tools

4 DevOps Automation

Implement CICD pipelines for data workflows using CodePipeline CodeBuild GitHub Actions or Jenkins
Use InfrastructureasCode IaC tools like CloudFormation or Terraform to automate provisioning
Monitor pipelines and infrastructure using CloudWatch CloudTrail and AWS Config

5 Security Compliance Governance

Apply AWS security best practices including IAM roles KMS encryption VPC networking and Secrets Manager
Maintain compliance with organizational data governance and regulatory standards
Ensure data privacy retention policies and audit requirements are met

6 Collaboration Stakeholder Management

Partner with data scientists analysts and business teams to understand data requirements
Provide technical guidance on AWS data capabilities and architectural best practices
Troubleshoot pipeline failures performance bottlenecks and data quality issues'

The base compensation range for this role in the posted location is: 80420 to 106050

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.

About Capgemini

Capgemini is a global leader in consulting, digital transformation, technology and engineering services. The company is headquartered in Paris, France and operates in over 50 countries. Capgemini provides a range of services including strategy and transformation, application services, technology services, and engineering services. The company serves clients in a variety of industries including automotive, consumer products, financial services, healthcare, and retail.
Learn more about Capgemini
Industry
Founded
1967
NASDAQ

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