Associate III - Data Engineering

UST • IT Consulting & Digital Transformation • IT Outsourcing & Dedicated Teams • Python • SQL • ETL/ELT • Fivetran • 2 hours ago
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Salary
≈ $15k – $36k per year (Estimated)
Location
In office (Noida)
Seniority
Middle · 3+ years exp

Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Aug 11, 2026.

Overview
Company
Impact
Profile match

UST

UST is a digital transformation and technology services company that partners with clients to deliver AI-driven solutions and business outcomes. It hires data scientists, Salesforce integration specialists, Java, .NET and Node.js developers, mainly in Thiruvananthapuram, Kochi, Bengaluru and Hyderabad. The company is headquartered in Thiruvananthapuram, Kerala, India.
ust.com • HQ: Thiruvananthapuram, India • IT Outsourcing & Dedicated Teams • IT Consulting & Digital Transformation • 5000+ employees
Tech stack of UST

3 to 5 years of Software engineering experience, ideally in infrastructure or data platform roles.

  • Proficiency in Python/PySpark and strong knowledge of SQL.
  • Experience with Terraform or similar Infrastructure-as-Code (IaC) tools.
  • Strong knowledge of at least one cloud platform (GCP/AWS)
  • Solid CI/CD experience
  • Data & MLOps Expertise:
  • Strong Background in Databricks, specifically Unity Catalog, medallion architecture, and Databricks Asset Bundles (DABs).
  • Proficiency in Python and API frameworks such as FastAPI or Flask.
  • Strong experience designing, developing, and maintaining RESTful APIs.
  • Good understanding of data engineering concepts such as data modeling and workflow orchestration.
  • Experience with MLOps and Data Engineering like having worked on Spark/Delta Lake/MLflow/ETL frameworks (e.g., Fivetran, Lakeflow Connect).
  • Operational Excellence:
  • Experience with Github workflows, including container versioning.
  • Proficiency with incident management and observability tools (e.g., PagerDuty, system monitoring).
  • Mindset & Collaboration:
  • An AI as a partner mindset.
  • A collaborative approach, including asking questions, navigating unclear requirements, and actively contributing to knowledge sharing/community enablement.
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