Senior Data Engineer | Contract to hire in India - VO433

Yara aims to be the crop nutrition company for the future and is leading the development of sustainable agriculture and digital tools to contribute to solving global agricultural challenges. We have a worldwide presence with sales teams in ~150 countries and around 17,000 employees. Drawing on over a century of crop nutrition experience, Yara established the Digital Farming unit – now Digital Ag Solutions (DAS) – 4 years ago to explore how technology could be used to impact farmer livelihoods and productivity. Today, DAS has built products for smallholder and professional farmers, retailers and other farming ecosystem stakeholders across Asia, Africa, the Americas and Europe. We are an international team of engineers, scientists, researchers, designers and agronomists working together to achieve Yara’s goal to responsibly feed this world and protect the planet. Join us in building new digital products and services to create value for stakeholders across the agricultural ecosystem. Responsibilities: You shall be part of a growing team of Data Engineers, Data Scientists, Data Architect and Data Steward within Farm & Field Data Products (FFDP - Data specialization for Farm & Field initiatives within Digital Ag Solutions) Your core deliverables will be to build and maintain Data Lake, Data Warehouse, Data Catalog, Data & Analytics APIs, experimentation workbench for Data Science, Geospatial Analysis and Business Intelligence You shall work closely with different Product and Engineering teams within DAS to build data flows, pipelines with traceable linkage and lineage You shall study the input data source to develop ETL specifications for data integration development and implementation Input Data Source could be Kafka Events, streaming data from IoT Sensors, Weather APIs, CSV Files, Image Files, Bulk Data Stores, Batch-loading Proficient in data transformations on source data, perform joins and aggregations, build Data Warehouse, feature engineering for Machine Learning and Business Intelligence Participate in Data Profiling, Data Cleaning and Quality Management to support Data Stewards and Data Scientists in the team You would help run proof-of-concepts to evaluate new tools/software to recommend as potential features to Yara Farm and Field Data Products Profile: Bachelor’s degree in computer science, information technology, or a field related to computer science 6+ years' experience working as a data engineer with hands on experience in data engineering projects such as writing SQL queries, data pipelining, API provisioning, database optimisation / maintenance etc. Knowledge of data architecture concepts such as database systems, schemas, schema registry, data warehousing etc. Worked with scalable architectures (micro-services, event-driven, data-mesh, kubernetes etc.) • Able to code in Python, our preferred tech stack Experience with Kafka, Kafka Connect, KSQL is preferred Comfortable working with our tools: AWS, Github, Helmcharts, Jira Aligned with our principles: agile, customer-centric, lean, service-oriented architecture, selforganization, transparency Hands on experience in metadata management, data modelling, data analysis, data integration tools Preferable experience in Agriculture Technology domain Good communication and presentation skills Experience in Agile (Scrum) way of working Experience of working with cross-geography teams