Data Engineer II
Job Summary
Designing and optimizing scalable data pipelines, the full-time remote Data Engineer II will implement advanced data processing techniques using frameworks like Apache Spark and Airflow, ensuring data quality and governance while collaborating with cross-functional teams.
Key responsibilities:
- Designs and optimizes robust data pipelines and workflows to handle large datasets
- Implements advanced data processing and scheduling techniques using frameworks such as Apache Spark, ADF, and Airflow
- Ensures data quality, governance, and security through automated testing and monitoring solutions
Required qualifications:
- Bachelor's degree in computer science, data analytics, statistics, or a related field
- 2-5 years of experience in data engineering or a related role
- Proficiency in SQL and experience with database management systems
- Strong programming skills in languages such as Python, Java, or Scala
- Experience with orchestration tools like Apache Airflow or AWS Glue for data ingestion and delivery
Complete Job Description
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