Top Scala Jobs in Minneapolis, MN

Design and build an AWS-hosted proxy application to connect Thomson Reuters apps to Amazon Alexa speech APIs. Work with product owners and architects, implement new technologies, build JSON REST APIs, deploy and maintain production services on AWS, and communicate status and roadblocks.

The Scala Developer will work on developing applications with strong Scala and Java skills, requiring at least 6 years of experience.

Design, develop, and maintain high-performance Scala/Java backend services and RESTful APIs. Work with SQL databases, Git, and Maven; support distributed systems; write unit tests; perform requirements analysis, system architecture, and performance optimization; participate in design reviews and system integration. Obtain T4 Public Trust clearance.

Looking for a Big Data/Scala Developer to build large scale applications using Scala, Spark, and Hadoop in a collaborative agile environment.

Design, develop, and maintain scalable backend services and distributed systems using Scala, Java, and the Akka ecosystem; build RESTful APIs and cloud-native solutions on AWS; design data access with Slick/SQL; maintain CI/CD pipelines; participate in architecture, code reviews, troubleshooting, and performance improvements.

Design, develop, optimize, and deploy high-performance data processing applications using Scala and Apache Spark on Cloudera CDH. Build and tune ETL pipelines integrating HDFS, Hive, Impala, HBase, and Kafka. Ensure data integrity and security, troubleshoot performance, collaborate with data scientists and analysts, and implement version control and CI/CD.

Design, develop, optimize, and deploy large-scale data processing applications using Scala and Apache Spark within the Cloudera Hadoop ecosystem. Build ETL pipelines, ensure data integrity and performance, troubleshoot Spark/Cloudera issues, collaborate with data scientists and analysts, and implement version control and CI/CD for Spark applications.

Design, develop, optimize, test, and deploy large-scale Spark/Scala data processing and ETL pipelines within the Cloudera ecosystem. Collaborate with data scientists and analysts, ensure data integrity and security, troubleshoot performance issues, and implement version control and CI/CD for production data solutions.

Design, develop, optimize, and deploy high-performance Spark/Scala data processing applications and ETL pipelines within the Cloudera Hadoop ecosystem. Collaborate with data scientists and analysts, ensure data integrity and performance, troubleshoot Spark/Cloudera issues, and implement version control and CI/CD for Spark applications.