Data Platform Engineer

Position Summary

Data Platform Engineer

Job Duties:

• Leads projects or processes of diverse scope, while working independently with limited supervision
• Collaborates with and reviews the work of global peers and colleagues
• Supports continuous improvement/automation activities
• Evaluates and defines functional requirements for data solutions
• Designs and documents industrialized data pipeline processes to be used across the organization
• Utilizes conceptual and logical data models to align stakeholders and management on implementation scope
• Uses advanced analytical/technical problem solving to develop new solutions to existing problems/procedures
• Supports relationships through strong communication and negotiation skills with internal and external stakeholders
• Monitors and analyzes appropriate characteristics of data quality such as accuracy and completeness
• Other duties as assigned

Required Qualifications:

• Bachelors degree in computer science, computer engineering, information systems, business administration, or equivalent work experience
• Minimum of 8 years of experience with IT development and/or operations domains
• Excellent communication and interpersonal skills to explain complex concepts and technologies to diverse audiences

Mandatory Skills:

• Proficiency with cloud data technologies such as Databricks, AWS Redshift, Aurora, Glue, Athena, Kinesis, DynamoDB, Azure Data Factory, SQL, Synapse, etc
• Working knowledge of common data engineering technologies such as Apache Spark, Python, SQL, Scala/Java, Kafka, etc.
• Experience working in CI/CD environments and the tooling associated with such environments (Azure DevOps, Jenkins, GitLab, Bamboo, etc)
• Experience working in an agile development process (bias towards the SAFe framework) and operating in a DevSecOps mindset
• Experience working with SAP or other ERP packages – Optional
• Pref AWS but azure works, upgrade to AWS