Press Tab to Move to Skip to Content Link
Select how often (in days) to receive an alert:
GCP DATA ENGINEER | 4 to 12 YEARS | PAN INDIA
At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities where you can make a difference and where no two days are the same.
Your Role
As a senior software engineer with Capgemini, you should have 4+ years of experience in GCP Data Engineering with a strong project track record.
In this role, you will play a key role in:
* Strong customer orientation, decision-making, problem-solving, communication, and presentation skills
* Good judgment skills and the ability to shape compelling solutions and solve unstructured problems with assumptions
* Excellent collaboration skills and the ability to interact with multi-cultural and multi-functional teams across geographies
* Strong executive presence and spirit
* Leadership and team-building skills with the ability to build consensus and achieve goals through collaboration rather than direct authority
Your Profile
Minimum 4 years' experience in GCP Data Engineering.
Strong data engineering experience using Java or Python programming languages or Spark on Google Cloud.
Experience handling big data.
Certification as a Professional Google Cloud Data Engineer is an advantage.
Proven analytical and problem-solving skills with the ability to work effectively in cross-team environments.
Primary Skills:
GCP, data engineering, Java/Python/Spark on GCP, programming in any one language - Python, Java, or PySpark.
Experience with GCS (Cloud Storage), Composer (Airflow), BigQuery, and building data pipelines.
Knowledge of Ab Initio, Agile methodologies, Apache Hadoop, AWS services (Airflow, EFS, EMR, Redshift, S3), Bitbucket, Change Management, CI/CD, Data Governance, Data Modeling, Data Validation, Data Vault Modeling, Database Schema Design, Decision-Making, DevOps, Dimensional Modeling, GCP BigQuery, DataFlow, DataProc, Git, HQL, IBM Data Stage, IBM DB2, Industry Standard Data Modeling (FSLDM, IBM FSDM), Jenkins, Negotiation, NewSQL, Oracle Exadata, Performance Tuning, Perl, Platform Update Management, Project Management, PySpark, Python, R, RDD Optimization, SantOs, SAS, Scala Spark, Shell Script, Snowflake, Spark, Spark Code Optimization, SQL, Stakeholder Management, Synapse, Talend, Time Management, Ubuntu.
Capgemini is a global business and technology transformation partner, helping organizations accelerate their transition to a digital and sustainable world. With over 55 years of heritage and more than 340,000 team members across 50+ countries, Capgemini is trusted to unlock the value of technology to meet diverse business needs through strategy, design, engineering, AI, generative AI, cloud, and data services, combined with deep industry expertise and partnerships.
Ref. code: 220562
Posted on: 5 May 2025
Experience Level: Experienced Professionals
#J-18808-Ljbffr