Job Description:
Must Haves:
Needs hands-on experience with Python, AWS, and Apache Spark.
3 years of Data Engineering work experience building Pipelines and ETL processes.
Hands-on Databricks experience.
Hands-on Machine learning experience
5 or more years of hands-on experience in the AWS/JAVA J2EE in the design, development, testing, and integration of highly complex backend.
Experience working with Big Data.
2+ years of experience with Machine Learning Life Cycle (planning, data preparation, model engineering, model evaluation, model deployment, and monitoring and maintenance).
Nice to Have Skills:
Proven work experience in designing and implementing loosely coupled microservices.
2 or more years of experience in cloud development with platforms like AWS.
2 or more years of hands-on experience of full-stack design patterns and designing loosely coupled architectures.
2 or more years of experience with CI/CD build processes and configuration.
4 or more years of proven experience in an Agile/Scrum team environment.
4 or more years of deep experience leveraging DevSecOps and lean development principles such as Continuous Integration and Continuous Delivery.
2 or more years of experience working with Test Driven Development and Unit Test Frameworks.
Experience implementing high quality code to ensure that features meet business needs and are scalable.
Skilled in interpersonal communications, negotiation, conflict resolution, and demonstrates.
Proven experience as a work lead providing technical coaching and mentoring to others.
Additional information:
Bachelor's Degree in IT, Computer Science, Computer Engineering or equivalent experience in a related career field.
Bachelor's Degree in IT, Computer Science