- 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