Data Engineer
Job Summary
To support the growth of data-driven initiatives, the full-time salaried Data Engineer will design and build scalable data pipelines, enforce data governance frameworks, and implement data reliability practices in a hybrid work environment.
Key responsibilities
- Design and build scalable, fault-tolerant data pipelines using Apache Spark and Python
- Establish and enforce data governance frameworks, including data quality rules and access controls
- Develop and maintain automated data workflows using orchestration tools like Airflow
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
- Experience implementing data governance principles and data quality frameworks
- Familiarity with cloud data platforms (AWS, Azure, or GCP)
Complete Job Description
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