Data Engineer III
2 weeks ago
Job Summary:
At Infraveo, we are seeking a highly skilled Data Engineer III to develop tools, libraries, and operations to support data scientists and analysts. As a key member of our team, you will be responsible for designing and implementing high-volume data processing jobs across various platforms, including Redshift, Athena, Iceberg, Spark, and Airflow.
Key Responsibilities:
• Develop high-volume data processing jobs across various platforms
• 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:
• Bachelor's degree in Computer Science or related field or equivalent experience
• Strong understanding of programming concepts with experience in at least one 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
What We Offer:
• Remote work option
• 5 days working
• Strong understanding of programming concepts with experience in at least one 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:
Yes
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