Sr. Data Engineer

Bengaluru

India

Information Technology

Job Description

Your Responsibilities:

The Senior Data Engineer role will work on designing, building, and implementing data solutions to support strategic analytics projects & initiatives that drive strategic growth for ADM. This involves liaising with functional teams that generate or acquire data, application owners to understand raw or source data structures, and end users to accurately design and build strategically significant Data centric projects.

The ideal candidate will have an interdisciplinary mindset – able to connect data engineering with AI/ML, software development and business needs. They will be equally comfortable working independently on complex problems or embedded in a cross-functional team.

• Develop cloud-native applications that integrate data services, APIs and analytics.
• Design, develop, test and document data integrations and assist with deployment, validation and hyper-care processes.
• Collaborate with data scientists, AI engineers, product managers, and business stakeholders to translate requirements into production-ready solutions.
• Develop prototypes and proof of concepts as part of the solutioning process.
• Lead engineering efforts from architecture through delivery.
• Contribute to high level solution/project design.
• Document solutions through high/low level design documentation.
• Maintain and support existing ETL/ELT integrations leveraging technical documentation.
• Develop and maintain existing codebases as needed.
• Understand and navigate a wide array of source data systems (enterprise data warehouses, relational databases, IT systems, in house and COTS applications, documents, APIs, unstructured data, big data, NoSQL databases, etc.).
• Synthesise & communicate ideas and recommendations to colleagues and management.
• Recommend solutions to address gaps in current data processes.
• Assist with project development estimation (epics, stories, features, bugs).
• Mentor junior engineers and contribute to engineering best practices.

Your Profile:

• Bachelor's Degree in Business Analytics, Statistics, Computer Science or related field.
• 7+ years of experience performing data mining, data analytics and predictive modeling initiatives.
• Significant SQL Scripting / TSQL development experience.
• Significant Experience in a number of programming languages (e.g. Python, Java, Scala, C#, JS, R).
• Proven data processing (ETL/ELT), data mining, data analytics and predictive modeling abilities.
• OLAP & OLTP database development experience with relational databases like MSSQL Server/Oracle & Postgres.
• Understanding of data warehousing and data mart concepts.
• Significant Azure Cloud experience (Administration, Data engineering & Networking).
• Experience with pipelining tools (ADF/Azure Synapse/Databricks Pipelines preferred).
• Experience with MPP systems, Azure Synapse/Databricks preferred.
• Familiarity with supervised and unsupervised machine learning techniques.
• Experience of working within an Agile development framework.
• Unit & Integration testing experience (concepts such as TDD) and experience of frameworks (such as SSDT, Pytest).
• Strong DevOps implementation/execution experience (source control, CI/CD, release environment management).
• Demonstrated ability to work independently, lead initiatives, and thrive in collaborative team environments.
• Understanding of data modeling, architecture, and performance optimization for both structured and unstructured data.

Preferred additional experience:

• Specific SAP S4 Hana integration experience (schema, modules).
• Salesforce Integration experience (adf salesforce bulk api).
• Understanding of GenAI fundamentals (Large language models (LLMs), Retrieval Augmented Generation, embeddings, direct and indirect search methods).
• AI engineering experience (LLM integrations, fine tuning, prompt engineering and productionising GenAI solutions).

#IncludingYou

Diversity, equity, inclusion and belonging are cornerstones of ADM's efforts to continue innovating, driving growth, and delivering outstanding performance. We are committed to attracting and retaining a diverse workforce and create welcoming, truly inclusive work environments — environments that enable every ADM colleague to feel comfortable on the job, make meaningful contributions to our success, and grow their career. We respect and value the unique backgrounds and experiences that each person can bring to ADM because we know that diversity of perspectives makes us better, together.

For more information regarding our efforts to advance Diversity, Equity, Inclusion & Belonging, please visit our website here: Culture, Engagement & Inclusion | ADM.

About ADM

At ADM, we unlock the power of nature to provide access to nutrition worldwide. With industry-advancing innovations, a complete portfolio of ingredients and solutions to meet any taste, and a commitment to sustainability, we give customers an edge in solving the nutritional challenges of today and tomorrow. We're a global leader in human and animal nutrition and the world's premier agricultural origination and processing company. Our breadth, depth, insights, facilities and logistical expertise give us unparalleled capabilities to meet needs for food, beverages, health and wellness, and more. From the seed of the idea to the outcome of the solution, we enrich the quality of life the world over. Learn more at

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