Sr. Data Engineer Are you looking to make a connection to your career? Come to Molex where we create connections for life. We use innovation, engineering excellence, commitment to quality and reliability and superior customer experience to improve communication, elevate experiences, and engage and inspire people everywhere. Joining our Enterprise Data Platform team means becoming a key player in a dynamic and innovative group of professionals dedicated to unlocking the power of data. Here, you'll find a diverse and collaborative environment where your ideas and expertise will shape the future of our data-driven organization. We pride ourselves on fostering a culture of continuous learning, creativity, and teamwork, and we're looking for individuals who are eager to contribute their skills and passion to our shared mission. Our Senior Data Engineer will be a technical team member responsible for the overall contributions to developing and maintaining our data quality. This will require using our data pipeline tools and performing data modeling to optimize our data. Responsibilities: Collaborate closely with business partners and data scientists to align data engineering efforts with their specific needs and objectives. Develop, maintain, and optimize data pipelines using tools such as Snowflake, Talend, AWS Glue, and Lambda. Design and implement data modeling and ETL/ELT processes to ensure data quality, consistency, and availability. 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. Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field. Proven experience as a Data Engineer or similar role. Experience with data engineering principles and best practices. Proficiency in SQL and data modeling. Experience with data warehouse technologies such as Snowflake. Experience with programming skills in languages like Python, Java, or Scala. Experience with cloud computing platforms, particularly AWS. Experience with 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. Preferred Qualifications: Certification in data engineering or related AWS certifications. Knowledge of data orchestration and workflow management tools (e.g., Apache Airflow). 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 machine learning models. As a Koch company, Molex is a leading supplier of connectors and interconnect components, driving innovation in electronics and supporting industries from automotive to health care and consumer to data communications. The thousands of innovators who work for Molex have made us a global electronics leader. Our experienced people, groundbreaking products and leading-edge technologies help us deliver a wider array of solutions to more markets than ever before. At Koch, employees are empowered to do what they do best to make life better. Learn how our business philosophy helps employees unleash their potential while creating value for themselves and the company.