Data Engineer - Spark, Cloud & Databricks
UNAVAILABLE
14 days+
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Benefits offered by this job
Job summary
A data technology company located in Chicago is seeking a Software Engineer to optimize AI/ML workflows and support data engineering efforts. The ideal candidate has over 3 years of experience in a distributed environment, proficient in Scala, Python, or Java, and familiar with cloud platforms. This role offers the opportunity to work with cutting-edge technologies and contribute to a growing team within an innovative company.
Qualifications
- 3+ years of software development experience in a scalable environment.
- Proficient in programming with Scala, Python, or Java.
- Experience with Apache Spark and big data technologies.
- Strong problem-solving skills and collaborative attitude.
Responsibilities
- Enable and optimize AI/ML workflows through data engineering.
- Support Spark, Hive, and Hadoop jobs, including performance analysis.
- Contribute to application development best practices.
- Learn and contribute to solutions on the Databricks platform.
Skills
Software development experience
Programming in Scala, Python, or Java
Familiarity with Apache Spark
Experience with cloud platforms
Problem-solving skills
Collaborative teamwork
Education
BA/BS in Computer Science or related discipline
Tools
Apache Spark
Hadoop
Cloud platforms (AWS, Azure, Databricks, GCP)
Kubernetes
Docker
Job description
A data technology company located in Chicago is seeking a Software Engineer to optimize AI/ML workflows and support data engineering efforts. The ideal candidate has over 3 years of experience in a distributed environment, proficient in Scala, Python, or Java, and familiar with cloud platforms. This role offers the opportunity to work with cutting-edge technologies and contribute to a growing team within an innovative company.
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