Manager, Data and Analytics Engineering

10 hours 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. Manager - Data Engineer ADM is seeking an experienced Manager for Data Engineering who is a player-coach. The successful candidate will play a pivotal role building and leading a high-performing team of developers capable of delivering high quality data solutions for a diverse set of internal customers. Strong technical acumen with modern data platforms, architectures and best practices is required with the ability to mentor less experienced developers and analysts. The ideal candidate has experience delivering work through Agile or SAFe. Lead a team of developers and analysts, fostering a culture of collaboration, team-driven decision making, continuous improvement, ownership and high-quality delivery Hire, retain and develop talent, including providing accurate and timely coaching Plan, design and build multiple modern data products like data pipelines, data streams, and data services at the same time Bachelor’s degree in Analytics, Data Engineering, Data Science, AI/ML, Computer Science, Engineering, Statistics, Mathematics or related field Typically requires minimum of 11+ years' work experience in a large-scale, enterprise environment Typically requires 8+ years of hands-on experience implementing data solutions in an Agile environment Advanced experience with Microsoft Azure, Databricks, SAP Datasphere, SQL, Azure Data Factory, Python, PySpark, Power BI, SSIS or other cloud-based data systems Advanced experience with Azure DevOps, GitHub, CI/CD Advanced experience with database storage systems such as cloud, relational, mainframe, data lake, and data warehouse Advanced experience building cloud ETL pipelines using code or ETL platforms utilizing database connections, APIs, or file-based Advanced experience with data warehousing concepts and agile methodology Advanced experience designing and coding data manipulations applying processing techniques to extract value from large, disconnected datasets Requires a deep understanding of data engineering principles, strong managerial skills, and the ability to drive innovation and operational excellence Deep technical experience across multiple technologies, governance frameworks, data security and data platforms Thought leader in organizations defining and implementing data mesh-based platforms and ingestion strategies to enable various data needs


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