Description

You will build and maintain scalable data solutions to drive data-driven decision-making.

Responsibilities

  • Design, build, and maintain secure, scalable data pipelines and engineering solutions.
  • Develop and support cloud and on-premise data infrastructure, including data warehouses and APIs.
  • Collaborate with business stakeholders to translate requirements into technical specifications.
  • Optimize data workflows and automate repetitive tasks.
  • Integrate new data sources and maintain data quality to support analytics initiatives.

Required Skills

  • 5 years of experience in data engineering or IT.
  • Strong proficiency in SQL and relational databases.
  • Expertise in Python.
  • Experience with AWS.
  • Hands-on knowledge of Apache Spark.
  • Experience with ETL tools.
  • Bachelor’s degree in Computer & Information Science (Master’s preferred).