Capgemini

Senior Data Engineer

Capgemini$85K — $95K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in computer science or related field
  • Experience with data lakes and data warehouses on AWS
  • Proficiency in Python, SQL, and Shell scripting
  • Strong hands-on experience with a variety of AWS services
  • Experience with data migration to AWS databases
  • Familiarity with serverless architectures using AWS Lambda
  • AWS Solutions Architect or Developer Certification preferred

Responsibilities

  • Design and maintain reliable architecture and code
  • Build robust data ingestion pipelines
  • Ensure high performance and quality in data engineering projects
  • Participate in architectural and system design discussions
  • Conduct hands-on development and unit testing
  • Collaborate with cross-functional teams to deliver projects
  • Identify and resolve performance issues

Benefits

  • Generous paid time off policy with vacation and personal days
  • Comprehensive medical, dental, and vision coverage
  • Retirement savings options like a 401(k)
  • Life and disability insurance
  • Employee assistance programs
Full Job Description
Location: Newark, NJ.

Qualifications:

Bachelor's degree in computer science, Software Engineering, MIS or equivalent combination of education and experience
Experience implementing, supporting data lakes, data warehouses and data applications on AWS for large enterprises
Programming experience with Python, Shell scripting and SQL
Solid experience of AWS services such as CloudFormation, S3, Athena, Glue, EMR/Spark, RDS, Redshift, DynamoDB, Lambda, Step Functions, IAM, KMS, SM etc.
Solid experience implementing solutions on AWS based data lakes.
Should have good experience with AWS Services - API Gateway, Lambda, Step Functions, SQS, DynamoDB, S3, Elasticsearch
Serverless application development using AWS Lambda
Experience in AWS data lake/data warehouse/business analytics
Experience in system analysis, design, development, and implementation of data ingestion pipeline in AWS
Knowledge of ETL/ELT
End-to-end data solutions (ingest, storage, integration, processing, access) on AWS
Architect and implement CI/CD strategy for EDP
Implement high velocity streaming solutions using Amazon Kinesis, SQS, and Kafka (preferred)
Migrate data from traditional relational database systems, file systems, NAS shares to AWS relational databases such as Amazon RDS, Aurora, and Redshift
Migrate data from APIs to AWS data lake (S3) and relational databases such as Amazon RDS, Aurora, and Redshift
Implement POCs on any new technology or tools to be implemented on EDP and onboard for real use-case
AWS Solutions Architect or AWS Developer Certification preferred
Good understanding of Lakehouse/data cloud architecture

Responsibilities:

Designing, building and maintaining efficient, reusable, and reliable architecture and code.
Build reliable and robust Data ingestion pipelines (within AWS, on-prem to AWS ,etc.)
Ensure the best possible performance and quality of high scale data engineering project
Participate in the architecture and system design discussions
Independently perform hands on development and unit testing of the applications.
Collaborate with the development team and build individual components into complex enterprise web systems.
Work in a team environment with product, production operation, QE/QA and cross functional teams to deliver a project throughout the whole software development cycle.
Responsible to identify and resolve any performance issues
Keep up to date with new technology development and implementation
Participate in code review to make sure standards and best practices are met.

The base compensation range for this role in the posted location is: $85,000 - $95,000

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

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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