What are the responsibilities and job description for the Python Data Engineer position at capgemini?
We are seeking a highly skilled GCP Platform Engineer with strong Python development and Data Engineering expertise to design build automate and support cloud native data platforms on Google Cloud Platform GCP The ideal candidate will have experience designing platform for scalable data pipelines implementing cloud infrastructure and enabling enterprise analytics and AIML workloads
Key Responsibilities:
Cloud Data Platform Engineering:
Design implement and maintain scalable cloud infrastructure on Google Cloud Platform GCP
Develop Infrastructure as Code IaC solutions using Terraform
Automate cloud provisioning deployment and monitoring processes
Implement security governance networking and IAM best practices
Support DR Design and build batch and real time data pipelines
Build and optimize data lakes and data warehouses
Ensure data quality lineage governance and observability
Develop Python based POC solutions for new requests
Troubleshoot tenant issues and perform root cause analysis
Support platform upgrades and cloud modernization initiatives
Collaborate with analytics AIML network internal products and business teams to support data consumption
Required Technical Skills:
Cloud Storage Big Query Cloud Composer Airflow Cloud Functions Gen2 Cloud Run PubSub Dataflow Data proc Cloud SQL IAM VPC Networking Cloud Monitoring Logging
Python Programming advanced
SQL advanced
Shell scripting Bash
ETL/ELT design and implementation
Data Engineering Data warehousing concepts Experience with data mesh or Lakehouse architectures
Required Experience:
5 years of cloud engineering experience
3 years of Google Cloud Platform experience
3 years of Python development experience
3 years of Data Engineering experience
Preferred Qualifications:
Knowledge of Terraform FinOps and cloud cost optimization
Nice to Have:
Google Cloud Professional Cloud Architect Certification
Google Cloud Professional Data Engineer Certification
Keywords:
GCP Python BigQuery Dataflow Dataproc Cloud Composer PubSub SQL Airflow CICD
The pay range that the employer in good faith reasonably expects to pay for this position is $36.98/hour - $57.79/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.
Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.
Salary : $37 - $58