Time since we first saw it
Day 2
Early. Similar jobs usually come down between day 6 and day 54.
From 11,508 similar postings that came down. Coming down is not always a hire.
GCP 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 postingBuild processes for data transformation, data structures, metadata and workload management
Write maintainable Python and PySpark code for data pipelines
Develop and optimize SQL queries for extraction and transformation
Implement data quality checks and monitoring for accuracy and reliability
Ensure data quality, governance and security across pipelines and storage
From the employer’s posting
Build processes supporting data transformation, data structures, metadata, dependency and workload management.
Write efficient and maintainable code in Python and PySpark.
Develop and optimize SQL queries for data extraction and transformation.
Implement data quality checks and monitoring, ensuring data accuracy and reliability.
Ensure data quality, governance, and security across all pipelines and storage layers.
What you’ll bring
All qualificationsCore experience
- Working knowledge of GCP Dataflow, BigQuery, Pub/Sub, Cloud Composer and Cloud Storage
- Proficiency in Python and PySpark
- Strong SQL skills, including query optimization and performance tuning
- Hands-on experience with CI/CD tools and DevOps practices
- Experience with big data tools such as Hadoop, Spark and Kafka
Qualification wording
Must have working knowledge in GCP Dataflow, BigQuery, Pub/Sub, Cloud Composer, and Cloud Storage.
Proficiency in Python and PySpark.
Strong SQL skills, including query optimization and performance tuning.
Hands-on experience with CI/CD tools and DevOps practices.
Experience with big data tools: Hadoop, Spark, Kafka, etc.
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
- BigQuery
- GCP
- Hadoop
- Kafka
- MongoDB
- MySQL
- NoSQL
- Oracle
- PostgreSQL
- Spark
- SQL Server
- PySpark
Where the posting names them
- Collaborate with data scientists, analysts, and application developers to deliver high-quality data solutions.Ensure data quality, governance, and security across all pipelines and storage layers. - Write efficient and maintainable code in Python and PySpark.Develop and optimize SQL queries for data extraction and transformation. - Build processes supporting data transformation, data structures, metadata, dependency and workload management.Implement data quality checks and monitoring, ensuring data accuracy and reliability.
- Experience with relational databases such as Microsoft SQL Server, MySQL, PostGreSQL, Oracle and NoSQL databases such as Hadoop, Cassandra, Mongo Db. Experience with big data tools: Hadoop, Spark, Kafka, etc. - Proficiency in Python and PySpark.Strong SQL skills, including query optimization and performance tuning.Familiarity with data warehousing, data lake concepts and ETL processes. - Experience with big data tools: Hadoop, Spark, Kafka, etc. Experience with relational databases such as Microsoft SQL Server, MySQL, PostgreSQL, Oracle, and NoSQL databases such as Hadoop, Cassandra, MongoDB.
- Strong analytic skills related to working with structured, semi structured, unstructured datasets.Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.GCP Dataflow, BigQuery, Pub/Sub, Cloud Composer, and Cloud Storage. - Experience with relational databases such as Microsoft SQL Server, MySQL, PostGreSQL, Oracle and NoSQL databases such as Hadoop, Cassandra, Mongo Db. Experience with big data tools: Hadoop, Spark, Kafka, etc. - Proficiency in Python and PySpark.Strong SQL skills, including query optimization and performance tuning.Familiarity with data warehousing, data lake concepts and ETL processes.
- Proficiency in Python and PySpark.Strong SQL skills, including query optimization and performance tuning.Familiarity with data warehousing, data lake concepts and ETL processes. - Experience with big data tools: Hadoop, Spark, Kafka, etc. Experience with relational databases such as Microsoft SQL Server, MySQL, PostgreSQL, Oracle, and NoSQL databases such as Hadoop, Cassandra, MongoDB. What you will love about working here
- Build processes supporting data transformation, data structures, metadata, dependency and workload management.Implement data quality checks and monitoring, ensuring data accuracy and reliability. - Must have working knowledge in GCP Dataflow, BigQuery, Pub/Sub, Cloud Composer, and Cloud Storage.Hands-on experience with CI/CD tools and DevOps practices. Your Profile
Your Profile - Strong analytic skills related to working with structured, semi structured, unstructured datasets.Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.GCP Dataflow, BigQuery, Pub/Sub, Cloud Composer, and Cloud Storage. - Experience with relational databases such as Microsoft SQL Server, MySQL, PostGreSQL, Oracle and NoSQL databases such as Hadoop, Cassandra, Mongo Db. Experience with big data tools: Hadoop, Spark, Kafka, etc.
Your next step
Complete your application on careers.capgemini.com. The employer’s form will show what is required.
Applying through SAP SuccessFactors
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Already applied? Track this application
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
At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.
Your role
- Collaborate with data scientists, analysts, and application developers to deliver high-quality data solutions.Ensure data quality, governance, and security across all pipelines and storage layers.
- Write efficient and maintainable code in Python and PySpark.Develop and optimize SQL queries for data extraction and transformation.
- Build processes supporting data transformation, data structures, metadata, dependency and workload management.Implement data quality checks and monitoring, ensuring data accuracy and reliability.
- Must have working knowledge in GCP Dataflow, BigQuery, Pub/Sub, Cloud Composer, and Cloud Storage.Hands-on experience with CI/CD tools and DevOps practices.
Your Profile
- Strong analytic skills related to working with structured, semi structured, unstructured datasets.Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.GCP Dataflow, BigQuery, Pub/Sub, Cloud Composer, and Cloud Storage.
- Experience with relational databases such as Microsoft SQL Server, MySQL, PostGreSQL, Oracle and NoSQL databases such as Hadoop, Cassandra, Mongo Db. Experience with big data tools: Hadoop, Spark, Kafka, etc.
- Proficiency in Python and PySpark.Strong SQL skills, including query optimization and performance tuning.Familiarity with data warehousing, data lake concepts and ETL processes.
- Experience with big data tools: Hadoop, Spark, Kafka, etc. Experience with relational databases such as Microsoft SQL Server, MySQL, PostgreSQL, Oracle, and NoSQL databases such as Hadoop, Cassandra, MongoDB.
What you will love about working here
- We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance.
- At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities.
- Equip yourself with valuable certifications in the latest technologies such as Generative AI.
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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Bangalore, IN
What you will love about working here - We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. - At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.