Formal training or certification on software engineering concepts and 3+ years of applied experience
Hands-on practical experience delivering system design, application development, testing, and operational stability
Proficient in one or more programming language(s)
Proficiency in automation and continuous delivery methods
Proficient in all aspects of the Software Development Life Cycle
Understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security
Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
Practical cloud native experience
Ability to develop reports, dashboards, and processes to continuously monitor data quality and integrity
Working knowledge of bitbucket and JIRA
Preferred qualifications, capabilities, and skills
Hands-on experience building data pipelines on AWS using Lambda, SQS, SNS, Athena, Glue, EMR
Strong experience with distributed computing frameworks such as Apache Spark, specifically PySpark
Strong hands-on experience building event driven architecture using Kafka
Experience writing Splunk or Cloudwatch queries, DataDog metrics