Description

Key Consideration:

Data Integration and Datawarehouse experience, Ascend or any one of the ETL, GCP, Python, DBT, GCP Kubernetes, Composer, Google Big Query, Airflow DAG

 

  • Experience in Google Cloud Platform (GBQ, GCS, Kubernetes POD operator and Image creation, Composer, DAG creation)
  • Python Programming Expert
  • Experience in Ascend tool
  • Create Data flow, Data service, Read and Write connection for the various sources.
  • Failure Notification settings (Ascend Webhook notification, Scheduling in Ascend)
  • Big query merge to perform merge
  • Custom Read and Write connector using python framework
  • Good understanding in Error logging
  • Experience in Airflow (Create DAG, Configure the variables in Airflow, Scheduling)
  • Experience in DBT to create the lineage in GCP. – Optional
  • Worked in Dev-Sec-Ops (CI/CD) environment.
  • Experienced with containerized execution/code containerization
  • Interact with the platform leads and 3rd party application leads to understand and analyze the various interfaces and data integration needs to create technical user stories
  • Contribute to the creation of technical design, estimation as applicable for the user stories and review with the EAC team and Product Owner
  • Conduct and participate in code review sessions for the team deliverables
  • Guides the team members and involves in development and unit testing
  • Work with business users for UAT and assist QA team accordingly for defects fixing
  • Help the team to troubleshoot critical issues in development, staging or prodRetail & Manufacturing Domain expertise with Qualifications MTech, MS, BE, BTech or MCA


 

Key Skills
Education

Any Gradute

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