Data Engineer

UPL Limited (NSE: UPL & BSE: 512070, LSE: UPLL) is a global provider of sustainable agriculture products and solutions, with annual revenue exceeding $6bn. We are a purpose-led company. Through OpenAg®, UPL is focused on accelerating progress for the food system. We are building a network that is reimagining sustainability, redefining the way an entire industry thinks and works – open to fresh ideas, innovation, and new answers as we strive towards our mission to make every single food product more sustainable. As one of the largest agriculture solutions companies worldwide, our robust portfolio consists of biologicals and traditional crop protection solutions with more than 14,000 registrations. We are present in more than 130 countries, represented by more than 10,000 colleagues globally. For more information about our integrated portfolio of solutions across the food value chain including seeds, post-harvest, as well as physical and digital services, please visit upl-ltd.com and follow us on LinkedIn, Twitter, Instagram and Facebook.

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: 

• Bachelor's degree in Computer Science, Engineering, Mathematics or Statistics. 

• Basic knowledge of at least 1 programming language 

• 2 - 4 years of data engineering experience 

• 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 

What’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 UPL's 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 one team, for maximum impact. One team with shared goals. We all play for the team and no one plays against the team. We have a laser-like focus on what our customers need and want, on anticipating their future needs and on how we can create innovative solutions and experiences for them.

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