Job Description

As a Data Engineer, you will design, build, and optimize scalable data pipelines that power real‑time analytics, machine learning, and enterprise decision making.

In this role, you will:

  • Build robust pipelines using Databricks, Spark, PySpark, Azure Data Factory, Python & SQL.
  • Work with diverse datasets from APIs, applications, cloud data warehouses (Snowflake, Synapse, Redshift, BigQuery) and more.
  • Apply modern data architecture patterns like microservices, event‑driven design, and data lake frameworks.
  • Collaborate with Data Science, Analytics, and cross‑functional engineering teams.
  • Implement data lineage, governance, observability, and quality standards.
  • Support MLOps initiatives with tools such as MLFlow, Docker, Kubernetes, and Azure Functions.
  • Drive innovation through POCs and exploration of new technologies.
  • Develop infrastructure using IaC and CI/CD pipelines.

As a Data Engineer, ...

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