Software Engineer III

ing cloud‑native software systems, including data-intensive applications.

• Strong full‑stack hands-on expertise in:

  • Python, Node.js, React
  • AWS (IAM, networking, storage, compute, serverless, monitoring)
  • Databricks

• Good to have data engineering experience with:

  • Advanced SQL, data modelling
  • Apache Spark / PySpark, Airflow (or equivalent orchestrator)
  • Snowflake

• Good to have understanding of modern Lakehouse patterns:

  • Spark optimization and Delta Lake (ACID, schema evolution, time travel)
  • Medallion architecture (Bronze/Silver/Gold)

• Proven experience with data quality, automated validation/testing, and operational monitoring; Tableau experience for validation/insights is a plus.

• Strong engineering fundamentals: CI/CD, Git, secure coding practices, and production readiness.

• Excellent communication, collaboration, and mentoring skills; able to drive outcomes in complex, ambiguous environments.

Preferred

• Familiarity with ML/GenAI integration into pipelines.

• Databricks Data Engineer certification.

WHAT YOU'LL WORK ON

• Own and optimize large-scale ETL/ELT and data service pipelines and reusable frameworks.
• Collaborate with cross-functional teams to translate business requirements into technical solutions.
• Guide junior engineers through code reviews and design discussions.
• Monitor data quality, availability, and system performance.
• Lead CI/CD implementation and improve workflow automation.