Must haves:

• Strong CS fundamentals including data structures, algorithms, and distributed systems.
• Strong database fundamentals including SQL, performance, and schema design.
• 5+ years of strong in Java or Python or Scala Programming
• Develop scalable and re-usage with self-service and configurable frameworks.
• 5+ years working with Software Engineering experience with Distributed Systems
• 5+ years of experience integrating technical processes and business outcomes – specifically: data and process analysis, data quality metrics/monitoring, data architecture, developing policies/standards & supporting processes.
• Strong experience with Spark and optimizing Spark jobs and in Hadoop, Hive, Spark, Apache Beam, Kafka, Columnar Databases
• Experience with various offerings from AWS, including S3, EMR, Redshift, Data Pipeline, Athena, and Kinesis
• Track record working with data from multiple sources – willingness to dig in and understand the data and leverage creative thinking and problem-solving.
• Excellent interpersonal and communication skills, including business writing and presentations.
• Ability to communicate objectives, plans, status, and results clearly, focusing on critical key points.
• Demonstrated ability to work in a matrix environment, ability to influence at all levels, and build strong relationships.
• Work with data architects to ensure that Big Data solutions are aligned with company-wide technology directions.
• Work with fast-moving development teams using agile methodologies.