Develop and build Spark applications, working with large datasets

Perform data parsing and manipulation using Scala and Python

Collaborate with cross-functional teams to understand product requirements and user needs

Participate in design reviews, offering input on requirements, product design, and potential challenges

Contribute to the preparation of automated test cases using tools like CodeBuild/CodeDeploy or other preferred automation frameworks

Prepare detailed reports covering all aspects of software development, including identified issues and development outcomes

A minimum of 3 years of experience in Data Software Engineering, demonstrating your proficiency in developing and building Spark applications

Solid understanding of the core AWS building blocks, including workloads, stacks, instances, containers, VPCs, networking, internetworking, routing, core services like DNS

Proficiency in Scala and Python, enabling you to work with the Scala ecosystem and perform ETL/ELT jobs

Experience working with Apache Hadoop and Databricks

Strong focus on teamwork and exceptional interpersonal skills, allowing you to collaborate effectively with cross-functional teams

Fluent spoken and written English at an Upper-Intermediate level or higher

Work experience with the following technologies: S3, Oracle, Elastic Search, Step Functions, Dynamo, CloudTrail/CloudWatch, DataDog, SNS/SQS, or Athena