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From 11,508 similar postings that came down. Coming down is not always a hire.
Senior Data Engineer
Bangalore, IN
Actively hiring, first seen by us 2 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingDesign and implement scalable data architectures using AWS services
Build and maintain end-to-end batch and streaming data pipelines
Ensure data quality, integrity and security across data platforms
Optimize data storage and processing for performance and cost
Monitor, troubleshoot and improve existing data workflows
From the employer’s posting
Designing and implementing scalable data architectures using AWS services
Building and maintaining end-to-end data pipelines (batch and streaming)
Ensuring data quality, integrity, and security across data platforms
Optimizing data storage and processing for performance and cost efficiency
Monitoring, troubleshooting, and improving existing data workflows and systems
Posting record
Report an errorActively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 5, 20262 days ago
- Recorded sightings
- 1
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Capgemini Service SAS is hiring
293 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- AWS
- Kafka
- NoSQL
- Redshift
- S3
- Spark
- Terraform
Where the posting names them
- AWS Data Services – Strong hands-on experience with services such as S3, Glue, Redshift, Athena, Lambda, and EMR - Data Engineering & ETL – Experience building scalable ETL/ELT pipelines using Python, Spark, or SQL - Database & Data Warehousing – Solid knowledge of relational and NoSQL databases, data modeling, and warehouse concepts
Your Role As an AWS Data Engineer, you will be responsible for designing, building, and maintaining scalable data solutions on the Amazon Web Services (AWS) platform. You will work closely with data scientists, analysts, and business stakeholders to enable data-driven decision-making by delivering reliable, secure, and high-performance data pipelines. In this role, you will play a key role in:
In this role, you will play a key role in: - Designing and implementing scalable data architectures using AWS services - Building and maintaining end-to-end data pipelines (batch and streaming)
Top 5 Technical Skills Required - AWS Data Services – Strong hands-on experience with services such as S3, Glue, Redshift, Athena, Lambda, and EMR - Data Engineering & ETL – Experience building scalable ETL/ELT pipelines using Python, Spark, or SQL
- Database & Data Warehousing – Solid knowledge of relational and NoSQL databases, data modeling, and warehouse concepts - Big Data & Streaming – Experience with big data frameworks and streaming technologies (e.g., Spark, Kafka, Kinesis) - DevOps & Automation – Familiarity with CI/CD, Infrastructure as Code (Terraform or CloudFormation), and monitoring tools
- Data Engineering & ETL – Experience building scalable ETL/ELT pipelines using Python, Spark, or SQL - Database & Data Warehousing – Solid knowledge of relational and NoSQL databases, data modeling, and warehouse concepts - Big Data & Streaming – Experience with big data frameworks and streaming technologies (e.g., Spark, Kafka, Kinesis)
- Big Data & Streaming – Experience with big data frameworks and streaming technologies (e.g., Spark, Kafka, Kinesis) - DevOps & Automation – Familiarity with CI/CD, Infrastructure as Code (Terraform or CloudFormation), and monitoring tools What you'll love about working here
Your next step
Complete your application on careers.capgemini.com. The employer’s form will show what is required.
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About Capgemini Service SAS
- People
- About 11,267 in 2024.Benefit plan filings (Form 5500)
- Company
- Listed as CAP.PA.
- H-1B visas
- 771 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
Your Role
As an AWS Data Engineer, you will be responsible for designing, building, and maintaining scalable data solutions on the Amazon Web Services (AWS) platform. You will work closely with data scientists, analysts, and business stakeholders to enable data-driven decision-making by delivering reliable, secure, and high-performance data pipelines.
In this role, you will play a key role in:
- Designing and implementing scalable data architectures using AWS services
- Building and maintaining end-to-end data pipelines (batch and streaming)
- Ensuring data quality, integrity, and security across data platforms
- Optimizing data storage and processing for performance and cost efficiency
- Collaborating with cross‑functional teams to understand data requirements and translate them into technical solutions
- Supporting analytics, reporting, and machine learning use cases with well-structured datasets
- Monitoring, troubleshooting, and improving existing data workflows and systems
Top 5 Technical Skills Required
- AWS Data Services – Strong hands-on experience with services such as S3, Glue, Redshift, Athena, Lambda, and EMR
- Data Engineering & ETL – Experience building scalable ETL/ELT pipelines using Python, Spark, or SQL
- Database & Data Warehousing – Solid knowledge of relational and NoSQL databases, data modeling, and warehouse concepts
- Big Data & Streaming – Experience with big data frameworks and streaming technologies (e.g., Spark, Kafka, Kinesis)
- DevOps & Automation – Familiarity with CI/CD, Infrastructure as Code (Terraform or CloudFormation), and monitoring tools
What you'll love about working here
- You can shape your career with us. We offer a range of career paths and internal opportunities within Capgemini group.
- You will also get personalized career guidance from our leaders.
You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work. - At Capgemini, you can work on cutting-edge projects in tech and engineering with industry leaders or create solutions to overcome societal and environmental challenges.
Source details
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- Pay
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- Location & working pattern
Bangalore, IN
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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