This is a remote position.
We are seeking for a Data Engineer III to join our team. As a data engineer you will be focused on developing tools libraries and operations to support data scientists and analysts as they discover new and exciting ways to apply our data.
Responsibilities:
- Develop high volume data processing jobs across various platforms including Redshift Athena Iceberg Spark and Airflow.
- Work closely with Data Scientists to turn theory and methodology into viable products.
- Identify bottlenecks in system performance and make recommendations on improving process efficiency.
- Support and collaborate with data scientists analysts and product managers.
Requirements
- Bachelors degree in Computer Science or related field or equivalent experience.
- Strong understanding of programming concepts with experience in at least 1 OOP language (Python Scala Java).
- Strong background and 3 years of direct experience working with Python.
- Experience with high volume distributed data processing in Spark.
- Strong working knowledge of SQL databases (MySQL / Redshift / Athena / Trino) data modeling and modern data warehouse (lakehouse) management.
- Excellent troubleshooting and analysis skills.
- Excited to learn and work with new technologies in a dynamic environment.
- Strong communication skills both in person and via virtual mediums.
- Strong time management skills and a self driven work ethic.
- Experience with AWS cloud services is a plus.
- Experience with event driven architecture and streaming data pipelines is a plus
- Background check required.
Benefits
Work Location: Remote
5 days working
Strong understanding of programming concepts with experience in at least 1 OOP language (Python, Scala, Java). Strong background and 3+ years of direct experience working with Python. Experience with high volume distributed data processing in Spark. Strong working knowledge of SQL, databases (MySQL / Redshift / Athena / Trino), data modeling, and modern data warehouse (lakehouse) management. Excellent troubleshooting and analysis skills. Excited to learn and work with new technologies in a dynamic environment. Strong communication skills both in person and via virtual mediums. Strong time management skills and a self driven work ethic. Experience with AWS cloud services is a plus. Experience with event driven architecture and streaming data pipelines is a plus Background check required.