Work at OMRON! OMRON is a global leader in the field of automation, an $8 billion global technology company celebrating more than 80 years of success. OMRON's business fields cover a broad spectrum, ranging from industrial automation and electronic components to social systems and healthcare. OMRON Management Center of America, Inc. is the regional headquarters for OMRON in the Americas. Data Engineer As a Data Engineer at OMRON, you will play a crucial role in designing, implementing, and maintaining robust data pipelines and infrastructure on Snowflake, leveraging your expertise in data integration tools and AWS cloud services. You will work closely with cross-functional teams to ensure the efficient flow of data across various systems and platforms, while also validating data integrity and adherence to best practices. Additionally, you will contribute to data modeling efforts and collaborate with data Analysts/scientists to support advanced analytics initiatives. Experience with Power BI visualizations will be considered a plus. Our Commitment to Employees: <ul><li>Training and Career Development Program to give employees a learning path with the necessary tools and resources they need to help build their career at Omron.</li><li>Great financial opportunities with competitive compensation, immediate 401k match with 100% vesting, profit sharing, and Blue Cross Blue Shield for medical, dental, vision and prescription drug benefits.</li><li>Community Awareness that includes activities with local non-profit organizations and a Matching Gift Program.</li><li>Work-Life Balance with Flexible Work Arrangements, Flexible Work Hours, and Sick/Vacation/Holiday Pay.</li><li>Wellness Activities such as Walking Contests, Nutritional Learning Sessions, On Site Flu shots and Health Screenings.</li></ul> Responsibilities: <ul><li>Design, develop, and maintain data pipelines on Snowflake using Appflow, IICS, or other data integration tools.</li><li>Ensure data quality and integrity by implementing rigorous validation processes and recommending best practices for data management.</li><li>Collaborate with stakeholders to understand data requirements and translate them into scalable and efficient solutions.</li><li>Implement and optimize data models to support analytics and reporting needs, considering performance and scalability requirements.</li><li>Work closely with AWS cloud services, leveraging various tools and services for data storage, processing, and analysis.</li><li>Collaborate with data experts to deploy machine learning models and support data science projects.</li><li>Develop Power BI visualizations and dashboards to provide insights to stakeholders and drive decision-making.</li><li>Stay abreast of emerging technologies and industry trends, continuously improving processes and solutions.</li><li>Other duties and miscellaneous projects as needed</li></ul> Job Requirements: <ul><li>Bachelor's degree in business or technical field; master's degree preferred.</li><li>Proven experience as a Data Engineer, with a focus on Snowflake, data integration tools, and AWS cloud services.</li><li>Strong proficiency in SQL</li><li>Experience with programming languages such as Python is a big plus</li><li>Experience with data modeling concepts and tools.</li><li>Familiarity with data science techniques and tools is a plus.</li><li>Experience with Power BI or other data visualization tools is preferred.</li><li>Excellent problem-solving skills and attention to detail.</li><li>Strong communication and collaboration skills, with the ability to work effectively in a team environment</li></ul> Don't meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Omron we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Omron is an Equal Opportunity Employer. We provide equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, we comply with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

140-150k + Bonus + Benefits / Greater Chicago Area / Onsite <ul> <li>Provide support in designing and overseeing enterprise-grade data pipelines and data stores, essential for the development of advanced analytics programs, machine learning models, and statistical methods. </li><li>Implement automation and streamline processes to optimize the entire data and analytics platform, ensuring efficient throughput and high-performance outcomes. </li><li>Recognize, devise, and execute internal process enhancements, including automation of manual tasks, optimizing data delivery, and redesigning architecture or infrastructure to enhance scalability. </li><li>Collate large, intricate datasets that align with functional and non-functional business demands. </li><li>Develop processes that facilitate data transformation, manage data structures, metadata, dependencies, and workload management. </li><li>Collaborate with business users to understand functional and data requirements, contributing to the enhancement of data models and pipelines. </li><li>Apply expert-level analytical and problem-solving skills to diagnose and resolve intricate technical issues. </li><li>Create, maintain, and continuously enhance scalable data pipelines, while also developing new data source integrations to accommodate the growing volume and complexity of data. </li><li>Designing, implementing, and managing data extraction, transformation, and loading (ETL) processes. </li><li>Creating comprehensive technical specification documents and application interface designs. </li><li>Creating data processing and integration solutions for both batch and real-time scenarios, proficiently handling structured and unstructured data. </li><li>Leading and participating in design discussions, code reviews, and project-related team meetings. </li><li>Providing mentoring and guidance to junior team members, promoting a culture of knowledge sharing and collaborative problem-solving. </li></ul> Qualifications <ul> <li>Exhibit a thorough understanding of Data Lake architectures, including raw, enriched, and curated layer concepts, and ETL/ELT operations. </li><li>Exhibit a solid understanding of database design, data warehousing concepts, big data platforms, and ETL operations. </li><li>Experience working with data integration techniques & self-service data preparation. </li><li>Experience in requirements analysis, design, and prototyping. </li><li>Experience deploying modern data solutions leveraging components like Azure functions, Azure Databricks, Azure Data Factory, Azure Databricks, Data Flows, Azure Data Lake, Azure SQL, Azure Synapse, Streaming Analytics. </li><li>Experience with DevOps tools like Azure DevOps, Jenkins, Maven etc. </li><li>Experience in building/operating/maintaining fault tolerant and scalable data processing integrations. </li><li>Experience with SQL. </li><li>Demonstrated experience of turning business use cases and requirements into technical solutions. </li></ul> .

140-150k + Bonus + Benefits / Greater Chicago Area / Onsite <ul><li>Provide support in designing and overseeing enterprise-grade data pipelines and data stores, essential for the development of advanced analytics programs, machine learning models, and statistical methods.</li><li>Implement automation and streamline processes to optimize the entire data and analytics platform, ensuring efficient throughput and high-performance outcomes.</li><li>Recognize, devise, and execute internal process enhancements, including automation of manual tasks, optimizing data delivery, and redesigning architecture or infrastructure to enhance scalability.</li><li>Collate large, intricate datasets that align with functional and non-functional business demands.</li><li>Develop processes that facilitate data transformation, manage data structures, metadata, dependencies, and workload management.</li><li>Collaborate with business users to understand functional and data requirements, contributing to the enhancement of data models and pipelines.</li><li>Apply expert-level analytical and problem-solving skills to diagnose and resolve intricate technical issues.</li><li>Create, maintain, and continuously enhance scalable data pipelines, while also developing new data source integrations to accommodate the growing volume and complexity of data.</li><li>Designing, implementing, and managing data extraction, transformation, and loading (ETL) processes.</li><li>Creating comprehensive technical specification documents and application interface designs.</li><li>Creating data processing and integration solutions for both batch and real-time scenarios, proficiently handling structured and unstructured data.</li><li>Leading and participating in design discussions, code reviews, and project-related team meetings.</li><li>Providing mentoring and guidance to junior team members, promoting a culture of knowledge sharing and collaborative problem-solving.</li></ul> Qualifications<ul><li>Exhibit a thorough understanding of Data Lake architectures, including raw, enriched, and curated layer concepts, and ETL/ELT operations.</li><li>Exhibit a solid understanding of database design, data warehousing concepts, big data platforms, and ETL operations.</li><li>Experience working with data integration techniques & self-service data preparation.</li><li>Experience in requirements analysis, design, and prototyping.</li><li>Experience deploying modern data solutions leveraging components like Azure functions, Azure Databricks, Azure Data Factory, Azure Databricks, Data Flows, Azure Data Lake, Azure SQL, Azure Synapse, Streaming Analytics.</li><li>Experience with DevOps tools like Azure DevOps, Jenkins, Maven etc.</li><li>Experience in building/operating/maintaining fault tolerant and scalable data processing integrations.</li><li>Experience with SQL.</li><li>Demonstrated experience of turning business use cases and requirements into technical solutions.</li></ul>.

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Data Engineer Jobs in Hoffman Estates, IL

Sr Azure Data EngineerNovember 17, 2024

Data Engineer RemoteNovember 13, 2024

Data Engineer 75 RemoteNovember 8, 2024

Sr Azure Data EngineerNovember 7, 2024

Sr Azure Data EngineerNovember 6, 2024

Data Engineer RemoteNovember 3, 2024

Data Engineer 75 RemoteOctober 30, 2024

Data Engineer 75 RemoteOctober 26, 2024