Job Description

Description

:

It’s a GCP Data & AI Engineer role, performing end to end development of integrations, data preparation/synthesization/transformation, data quality, data storage workloads, along with usage of the prepared data for advanced data analytics and various AI use cases. It encompasses the L3 support activities as well for the implemented workloads.

What we’ll offer you

As part of our flexible scheme, here are just some of the benefits that you’ll enjoy

  • Best in class leave policy.
  • Gender neutral parental leaves
  • 100% reimbursement under childcare assistance benefit (gender neutral)
  • Sponsorship for Industry relevant certifications and education
  • Employee Assistance Program for you and your family members
  • Comprehensive Hospitalization Insurance for you and your dependents
  • Accident and Term life Insurance
  • Complementary Health screening for 35 yrs. and above

    • Your key responsibilities:

  • Design, develop and maintain data pipelines using Python and SQL programming language on GCP.
  • Experience in Agile methodologies, ETL, ELT, Data movement and Data processing skills.
  • Work with Cloud Composer to manage and process batch data jobs efficiently.
  • Develop and optimize complex SQL queries for data analysis, extraction, and transformation.
  • Develop and deploy google cloud services using Terraform.
  • Consume and Hosting REST API using Python.
  • Build and deploy AI and RAG pipelines
  • Design, build and deploy agentic workflows
  • Operationalize AI applications
  • Knowledge of RAG, vector database, multi-agent system, agentic framework – ADK along with a2a protocol and agent cards
  • Experienced in Vertex AI platform
  • Implement CI CD pipeline using GitHub Action
  • Monitor and troubleshoot data pipelines, resolving any issues in a timely manner.
  • Ensure team collaboration using Jira, Confluence, and other tools.
  • Ability to quickly learn new any existing technologies Strong problem-solving skills.
  • Write advanced SQL and Python scripts.
  • Strategize novel approaches for designing, implementing, deploying robust and scalable ai systems
  • Certification on Professional Google Cloud Data engineer will be an added advantage.

    • Your skills and experience

  • 6-10 years of IT experience, as a hands-on technologist.
  • Proficient in Python
  • Proficient in SQL.
  • Hands on experience on GCP Cloud Composer, Data Flow, Big Query, Cloud Function, Cloud Run, Google ADK and good to have GKE
  • Hands on experience in building and managing AI workloads and REST API hosting and consumptions.
  • Proficient in Terraform/ Hashicorp.
  • Experienced in GitHub and Git Actions
  • Experienced in CI-CD
  • Experience in automating ETL testing using python and SQL.
  • Good to have APIGEE. 
  • Good to have Bit Bucket
  • Understanding of LLM(Gemini) and embedding models
  • Experienced in prompt engineering

    • How we’ll support you

  • Training and development to help you excel in your career
  • Coaching and support from experts in your team
  • A culture of continuous learning to aid progression
  • A range of flexible benefits that you can tailor to suit your needs

    • Apply for this Position

    Ready to join ? Click the button below to submit your application.

    Submit Application