Data Engineer
Job Summary
To support data-driven initiatives, the full-time Data Engineer will design and build scalable data pipelines using Apache Spark and Python while ensuring data governance and reliability practices in a hybrid work environment.
Key responsibilities
- Design and implement scalable, fault-tolerant data pipelines and automated workflows
- Establish data governance frameworks, including data quality rules and access controls
- Support machine learning pipelines by validating training data and monitoring data quality
Required qualifications
- Bachelor's or master's degree in computer science, engineering, or a related field with 3+ years of experience
- Strong programming skills in Python and experience with Apache Spark
- Proven experience building reliable ETL/ELT pipelines in production environments
- Hands-on experience with data quality frameworks and governance principles
- Experience with cloud data platforms such as AWS, Azure, or GCP
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