Capgemini | Hiring | GCP Data Engineer|4 yrs -11 yrs| PAN INDIA | Poona | BigDataKB.com | 4 Oct 2022

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Job Location: Poona

Job Description :

  • 5+ years of increasing responsibility architecting, positioning and delivering cloud/internet facing applications In-depth knowledge on GCP and Cloud technologies.
  • 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


Primary Skills :

  • GCP ,Google Cloud with Java and Google Cloud with PYTHON, ETL, Complex SQL queries, GCP Data Flow, Airflow, Data Fusion, Cloud SQL.
  • Candidate should have good experience in GCP : Data Proc, Bigquery, GKE and SQL
  • GCP DevOps, ETL coding on cloud environment, Helm charts, Kubernetes manifests, Dockerfiles, Terraform or Ansible.


Secondary Skills :

  • 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


Competencies :

  • Intermediate level Cloud hands-on 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 add-on




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