Remote AWS Scala Engineer

Description:

• Looking for a skilled Scala Developer with experience in constructing data engineering frameworks on Apache Spark.
• Responsible for developing and optimizing data processing pipelines to ensure efficiency, scalability, and support for the bank's data-driven goals.
• Key responsibilities include developing and maintaining scalable data processing pipelines using Scala and Apache Spark.
• Requires a solid foundation in software engineering, including Object-Oriented Design (OOD) and design patterns.
• Exposure to Cloudera or Hortonworks Hadoop distribution, including HDFS, Yarn, and Hive.
• Write clean, efficient, and maintainable code meeting project requirements.
• Optimize Spark jobs for performance and cost efficiency.
• Collaborate with the data architecture team to implement data engineering best practices.
• Troubleshoot and resolve technical issues related to data processing.

Requirements:

• Bachelor's degree in computer science, Engineering, or a related field.
• Minimum of 3 years of professional experience in Scala programming.
• Demonstrated experience with Apache Spark and building data engineering pipelines.
• Strong knowledge of data structures, algorithms, and distributed computing concepts.

Benefits:

• Full-time position with the flexibility of remote work.
• Opportunity to work on public cloud offerings and delivery in Cloud Data Services.
• Chance to contribute to the development and optimization of data processing pipelines.
• Exposure to working with a bank's data-driven goals and implementing best practices in data engineering.