PythonWe are seeking a skilled Data Engineer to join the AI Platform Capabilities team supporting the UDP Uplift program.
In this role, you will design, build, and test standardized data and AI platform capabilities across a multi-cloud environment (Azure & GCP).
You will collaborate closely with AI use case teams to develop:
- Scalable data pipelines
- Reusable data products
- Foundational data infrastructure
Your work will support advanced AI solutions such as:
- GenAI
- RAG (Retrieval-Augmented Generation)
- Document Intelligence
Key Responsibilities
- Design and develop scalable ETL/ELT pipelines for AI workloads
- Build and optimize data pipelines for structured & unstructured data
- Enable context processing & vector store integrations
- Support streaming data workflows and batch processing
- Ensure adherence to enterprise data models, governance, and security standards
- Collaborate with DataOps, MLOps, Security, and business teams (LBUs)
- Contribute to data lifecycle management for AI platforms
Required Skills
- 5–7 years of hands-on experience in Data Engineering
- Strong expertise in Python and advanced SQL
- Experience with GCP and/or Azure cloud-native data services
- Hands-on experience with PySpark / Spark SQL
- Experience building data pipelines for ML/AI workloads
- Understanding of CI/CD, Git, and Agile methodologies
- Knowledge of data quality, governance, and security practices
- Strong collaboration and stakeholder management skills
Nice-to-Have Skills
- Experience with Vector Databases / Vector Stores (for RAG pipelines)
- Familiarity with MLOps / GenAIOps concepts (feature stores, model registries, prompt management)
- Exposure to Knowledge Graphs / Context Stores / Document Intelligence workflows
- Experience with DBT (Data Build Tool)
- Knowledge of Infrastructure-as-Code (Terraform)
- Experience in multi-cloud deployments (Azure + GCP)
- Familiarity with event-driven systems (Kafka, Pub/Sub) & API integrations
Ideal Candidate Profile
- Strong data engineering foundation with AI/ML exposure
- Experience working in multi-cloud environments
- Ability to build production-grade, scalable data systems
- Comfortable working in cross-functional, fast-paced environments
Shubham Vishwakarma
Full Stack Developer - Averlon
About Quantiphi
About
Quantiphi is an award-winning AI-first digital engineering company driven by the desire to reimagine and realize transformational opportunities at the heart of the business. Since its inception in 2013, Quantiphi has solved the toughest and most complex business problems by combining deep industry experience, disciplined cloud, and data-engineering practices, and cutting-edge artificial intelligence research to achieve accelerated and quantifiable business results.
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Full Stack Developer - Averlon