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.

- Valuable 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

📌 Associate III - Data Engineering (Noida)
🏢 UST
📍 Noida