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).