Gcp DevOps 6-15 Yrs Pan India - Hyderabad, India - Capgemini
Description
At least 5 years of proven experience in Data management in Big Data (Hadoop) or Cloud (GCP) environment.- Able to handle end to end cloud migration project.
- Knowledge in DevOps methodologies.
- Cloud security architecture experience in any of GCP/AWS/Azure.
- Experience with: Java, C/C++, Python, JavaScript and understanding of software vulnerabilities
- Experience working with CSP managed container services such as AfaWS EKS, GCP GKE, Cloud Run, ECS Fargate.
- Experience with Helm charts, Kubernetes manifests, Dockerfiles, Terraform or Ansible.
- Solution architecture skills required
- Create ETL pipeline using Bigquery, create best performing tables with partitioning/clustering etc. enabled keeping best practices in mind.
- Python scripting knowledge/experience
- Write Complex SQL queries keeping execution cost in mind.
- Load data into BigQuery using files or by streaming one record at a time.
- Must have strong programing knowledge of Python/ Java,Spark & Hive/SQL
- Proven experience of ETL coding on cloud environment
- Good understanding of data warehousing principles and design / loading / updating / creating star schema and fact tables
- GCP ,Google Cloud with Java and Google Cloud with PYTHON, ETL, Complex SQL queries, GCP Data Flow, Airflow, Data Fusion, Cloud SQL.
- GCP DevOps, ETL coding on cloud environment, Helm charts, Kubernetes manifests, Dockerfiles, Terraform or Ansible.
- Java, C/C++, Python, JavaScript and understanding of software vulnerabilities
- Working Experience with Big Data Technologies (Spark, Cloud SQL, Big Query) preferably in an Enterprise environment.
- Experience with Airflow is desirable
- Intermediate level Cloud handson experience.
- Strong GCP will be an added advantage
- Configuration management and Python Jenkins, CICD and Devops tools.
- Python and other relevant language.
- Require Good Communication skills.
- Certified Google Cloud Architect /data engineer would be an addon
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