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Job Description

About UPLUPL is a leader in global food systems and with the acquisition of Arysta LifeScience, is now one of the top 5 agricultural solutions companies worldwide. With revenue of US$5 billion, UPL has presence in 130 countries. With market access to 90 percent of world s food basket and focused on high-growth regions, UPL represents a compelling value proposition for growers, distributors, suppliers and innovation partners in a consolidating market. UPL offers an integrated portfolio of both patented and post-patent agricultural solutions for various arable and specialty crops, including biological, crop protection, seed treatment and post-harvest solutions covering the entire crop value chain.Job Title: Data Engineer ABOUT UPL:UPL is focused on emerging as a premier global provider of total crop solutions designed to secure the world s long-term food supply. Winning farmers hearts across the globe, while leading the way with innovative products and services that make agriculture sustainable, UPL is the fastest growing company in the industry. UPL has a rich history of 50+ years with presence in 120+ countries. Based on the recognition that humankind is one community, UPL s overarching commitment is to improve areas of its presence, workplace, and customer engagement.Our purpose is OpenAg . An Open agriculture network that feeds sustainable growth for all. No limits, no borders.In order to create sustainable food chain, UPL is now working to build a future-ready, analytics-driven organization that will be even more efficient, more innovative, and more agile. We are setting up Digital and Analytics CoE to work on some disruptive projects that will have an impact that matters for the planet. It will help us reimagine our business to ensure the best outcomes for growers, consumers, employees, and our planet.Work with us to get exposure to cutting-edge solutions in digital & advanced analytics, mentorship from senior leaders & domain experts, and access to a great work environment.JOB RESPONSIBILITIES:The Data Engineers will work with the data engineering team to help develop high performance & high scalability enterprise applications. Working closely with more experienced data engineers, they will be learning how to build pipelines and manage data. They will also work with data scientists and business leadership to develop data pipelines for model development and productionalization. Their work will involve high level of interface with senior data engineers and the tech lead.
• Gather requirements, assess gaps and build roadmaps and architectures
• Work closely with Data Analysts to ensure data quality and availability for analytical modelling
• Work with data engineers and senior data engineers and learn how to explore suitable options, design, and create data pipelines (data lake / data warehouses) for specific analytical solutions
• Identify gaps and implement solutions for data security, quality and automation of processes
• Support maintenance, bug fixing and performance analysis along data pipeline
• Contribute to knowledge building and sharing by researching best practices, documenting solutions and continuously iterating on new ways to solve problems
REQUIRED EDUCATION AND EXPERIENCE:
• Bachelors degree in Computer Science, Engineering, Mathematics or Statistics.
• Basic knowledge of at least 1 programming language
• Basic understanding of Microsoft Azure/AWS or other leading cloud platforms
• Limited understanding of maintaining and configuring data engineering and ETL tools (e.g., Informatica, Azure Data Factory, SSIS)
• Basic understanding of data tools such as Hive, Spark, Hadoop, or Presto
• Required Skills :
• Ability to work well in agile environments in diverse teams with multiple stakeholders
• Strong project management and organizational skills
• Ability to effectively communicate complex analytical and technical content
• High energy and passionate individual who inspires teammates to reach their maximum potential
• Excited about trying new solutions outside standard approved
• Willing to adopt an iterative approach; experimental mindset to drive innovation
Location: Bangalore / MumbaiWhat s in it for you
• Disruptive projects: Work on breakthrough digital-and-analytics projects to enable UPL s vision of building a future ready organization. It involves deploying solutions to help us increase our sales, sustain our profitability, improve our speed to market, supercharge our R&D efforts, and support the way we work internally. Help us ensure we have access to the best business insights that our data analysis can offer us.
• Cross functional leadership exposure: Work directly under guidance of functional leadership at UPL, on the most critical business problems for the organization (and the industry) today. It will give you exposure to a large cross-functional team (e.g.: spanning manufacturing, procurement, commercial, quality, IT/OT experts), allowing multi-functional learning in D&A deployment
• Environment fostering professional and personal development: Strengthen professional learning in a highly impact-oriented and meritocratic environment that is focused on delivering disproportionate business value through innovative solutions. It will be supported by on-the-job coaching from experienced domain experts, and continuous feedback from a highly motivated and capable set of peers. Comprehensive training programs for continuous development through UPLs D&A academy will help in accelerating growth opportunities.
Come join us in this transformational journey!Let s collectively Change the game with Digital & Analytics!We are all about connecting with people, in a human way showing respect, demonstrating trust, celebrating diversity. For us technology is an enabler, not the endgame. We see the value in human connectivity and how it creates new opportunities for everyone. With this, comes our promise to protect people s safety in every way we can.,

Keyskills :
sqljavadata warehousinginformaticapythondata analysisdata securitymarket accesscrop protectioncomputer scienceequipment supplydata engineeringmodel developmenttraining programs