Data Engineer I

6 days ago

bangalore, India ADM Full time

About ADM: We are one of the world’s largest nutrition companies and a global leader in human and animal nutrition. We unlock the power of nature to provide nourishing quality of life by transforming crops into ingredients and solutions for foods, beverages, supplements, livestock, aquaculture, and pets. About ADM India Hub: At ADM, we have long recognized the strength and potential of India’s talent pool, which is why we have maintained a presence in the country for more than 25 years. Building on this foundation, we have now established ADM India Hub, our first GCC in India. At ADM India Hub, we are hiring for IT and finance roles across diverse technology and business functions. We stand at the intersection of global expertise and local excellence, enabling us to drive innovation and support our larger purpose of unlocking the power of nature to enrich quality of life. Job Title: Data Engineer I Job Summary: Do you want to join a team passionate about engineering data solutions to inform business decisions and transform business performance? ADM is seeking a Data Engineer, someone who thrives in an environment continuously integrating and deploying data products and analytics driving business value. The Data Engineer is a team player who sees problems as challenges to be creatively solved in collaboration with other data engineers, data scientists, and business colleagues. The ideal candidate is a driven learner who develops and sharpens skills building data pipelines, transforming raw data into useful data systems, and optimizing the data delivery architecture. Job Responsibilities: Learn to design, build, refactor, and maintain data pipelines using Microsoft Azure, Databricks, SAP Datasphere, SQL, Azure Data Factory , Python, and PySpark to meet business requirements for reporting, analysis, and data science Participate in designing, and integrating fault tolerance and enhancements into data pipelines to improve quality and performance Monitor data pipelines using analytic tools to develop actionable insights into performance issues Perform root cause analysis and solve problems using analytical and technical skills to optimize data delivery and reduce costs Adhere to code standards and DataOps and MLOps best practices to accelerate and continuously improve data system performance Job Requirements: Knowledge of Microsoft Azure, SQL, Databricks, SAP Datasphere, Azure Data Factory, Python, PySpark, Power BI or other cloud-based data systems Knowledge of Azure DevOps, GitHub, CI/CD are a plus Working knowledge of relational database systems Task management and organizational skills Knowledge of or demonstrated experience building cloud ETL pipelines using code or ETL platforms utilizing database connections, APIs, or file-based Knowledge of data manipulations and processing techniques to extract value from large, disconnected datasets Continuous learning to upskill data engineering techniques and business acumen Education and Experience: 2+ years proven Data Engineering experience Bachelor’s degree in computer science, software engineering, information technology or equivalent combination of data engineering professional experience and education

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