Data Engineering Databricks-AWS- Associate III - Data Engineering

Role description

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.

Skills

Databricks, FastAPI, Terraform, Python, ETL, Infrastructure as Code, MLOps, Data Modeling, Workflow Automation, PySpark, Flask

About UST
UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.