Data & AI Solutions Engineer

Molex is hiring a Data & AI Solutions Engineer for its Enterprise Data Platform team. The role designs, builds, and optimizes data pipelines and workflows, ensuring data reliability, accessibility, quality, and security to support data-driven decisions and innovation.

Responsibilities

• Collaborate closely with business partners and data scientists to align data engineering efforts with their specific needs and objectives, ensuring that data solutions contribute effectively to the organization's overall goals
• Develop, maintain, and optimize data pipelines using tools such as Snowflake, AWS Glue, and Lambda
• Design and implement data modeling and ETL/ELT processes to ensure data quality, consistency, and availability
• Monitor and troubleshoot data pipelines, resolving issues to ensure uninterrupted data flow
• Optimize and fine-tune data pipelines for performance and efficiency
• Manage and maintain data warehouses and ensure data security and compliance with company policies and relevant regulations
• Perform data transformations, aggregations, and data cleansing to support analytics and reporting needs
• Implement data integration strategies for streaming and batch data sources
• Automate and orchestrate data workflows to improve efficiency and reduce manual intervention
• Document data engineering processes, pipelines, and architecture for knowledge sharing and compliance
• Stay up-to-date with industry best practices, emerging technologies, and trends in data engineering

Preferred

• Certification in data engineering or related AWS certifications
• Knowledge of data orchestration and workflow management tools
• Experience with data streaming technologies (e.g., Kafka)
• Knowledge of data governance and compliance best practices
• Ability to mentor junior team members and lead data engineering projects
• Strong project management and organizational skills
• Ability to collaborate closely with data scientists to deploy and operationalize AI empowered tools
• Data Engineering Certification
• AWS Certifications
• Data Orchestration
• Workflow Management Tools
• Data Streaming Technologies
• Kafka
• Data Governance
• Compliance Best Practices
• Project Management
• AI Tool Deployment
• AI Tool Operationalization
• Mentoring
• Leadership
• Organizational Skills
• Collaboration

Benefits

• Medical
• Dental
• Vision
• Flexible spending and health savings accounts
• Life insurance
• ADD
• Disability
• Retirement
• Paid vacation/time off
• Educational assistance
• May also include infertility assistance
• May also include paid parental leave
• May also include adoption assistance
• Variable pay, issued as a monetary bonus or in another form

Company

• Engineered solutions for industrial construction and process industries
• Wichita, Kansas, USA
• http://www.kochengineeredsolutions.com/
• Founded in 1945
• 1001-5000 employees

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field
• 3-5+ proven years of experience as a Data Engineer or similar role, with a strong understanding of data engineering principles and best practices
• Proficiency in SQL and data modeling
• Experience with data warehouse technologies such as Snowflake
• Strong programming skills in languages like Python, Java, or Scala
• Familiarity with cloud computing platforms, particularly AWS
• Understanding of data integration concepts and tools like AWS Glue and Lambda
• Experience with DevOps practices and tools, such as continuous integration (CI) and continuous deployment (CD) pipelines, version control systems (e.g., Git)
• Experience in using Agile project management and collaboration tools (e.g., Jira, Confluence) to track progress and manage work in an Agile environment
• Excellent problem-solving and troubleshooting skills
• Certification in data engineering or related AWS certifications
• Knowledge of data orchestration and workflow management tools
• Experience with data streaming technologies (e.g., Kafka)
• Knowledge of data governance and compliance best practices
• Ability to mentor junior team members and lead data engineering projects
• Strong project management and organizational skills
• Ability to collaborate closely with data scientists to deploy and operationalize AI empowered tools

Required skills

• SQL, Data Modeling, Snowflake, Python, AWS, AWS Glue, AWS Lambda, CI/CD, Git, Jira, Confluence, Kafka, Data Governance

Preferred skills

• Experience with data streaming technologies (e.g., Kafka), Knowledge of data governance and compliance best practices, Strong project management and organizational skills

Experience

• 3+ years