We are seeking a highly skilled Data Engineer with 5 to 8 years of experience to join our Data Management team. The candidate must have extensive experience in Azure technologies and sophisticated Python skills. Experience with Oracle technologies would be an added advantage. This role involves crafting, building, and optimizing data pipelines, ensuring data security, and enabling analytical capabilities across the organization.

In this role, your responsibilities will be

Develop, test, and maintain high-quality software products by using ground breaking technologies and best programming practices. Design, develop, and maintain scalable and high-performance data pipelines using Azure Data Factory, Azure Synapse Analytics, and other Azure services. Develop and maintain ETL/ELT processes to ensure the quality, consistency, and accuracy of data. Implement data integration solutions across on-premise, hybrid, and cloud environments. Ensure the availability, and performance of enterprise data platforms. Work with relational (SQL Server, Azure SQL) and non-relational databases (Azure Cosmos DB, etc.). Perform code reviews and ensure the quality of work from the other developers are as per the standards. Collaborate with multi-functional teams, including designers, developers, and quality assurance engineers to build, refine, and improve software products. Optimize and solve large datasets using Python and Azure cloud-native technologies.

Who you are:

You possess a drive for achieving results, demonstrating a commitment to perfection in their endeavors. You excel in collaborative efforts, recognizing the value of collaboration and optimally contributing to collective goals.

For this role, you will need:

Bachelor’s degree in computer science or a related field 5+ years of experience as a Data Engineer, focusing on Azure cloud services with a Solid understanding of Python/PySpark programming language. Strong hands-on experience with Azure Data Factory, Azure Synapse Analytics, Azure SQL Database, and Azure Storage. Experience with Python, PySpark, and Spark Ecosystem is highly desirable. Strong SQL skills, including experience with data modeling, sophisticated queries, and performance optimization. Familiarity with version control systems (e.g., Git) and CI/CD pipelines (Azure DevOps). Knowledge of Data Lake / Lakehouse Architecture, Delta Tables, Data Warehousing, and Data Modeling principles. Strong problem-solving, communication, and collaboration skills. Integrating and running notebooks into Data Pipelines Able to work in the US without the need for sponsorship now or in the future

Preferred qualifications that set you a part:

Experience in ODI/OBIEE and PL/SQL would be a plus. Experience in implementing Medallion Architecture Understanding of Dimensional Modeling and Data Mesh Architecture is an added Strong analytical, communication, and teamwork skills. Microsoft Certified: Azure Solutions Architect Authority Microsoft Certified: Azure Fundamentals Our Culture & Commitment to You

At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow. We foster an environment that encourages innovation, collaboration, and diverse perspectives—because we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether through mentorship, training, or leadership opportunities, we invest in your success so you can make a lasting impact. We believe diverse teams, working together are key to driving growth and delivering business results. 

We recognize the importance of employee wellbeing. We prioritize providing competitive benefits plans, a variety of medical insurance plans, Employee Assistance Program, employee resource groups, recognition, and much more. Our culture offers flexible time off plans, vacation and holiday leave.