Brief Description of position:
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 Senior Data Engineers will help in developing high performance & high scalability enterprise applications using one or more leading cloud platforms across SaaS and PaaS. They will be working closely with the data architects to jointly develop the data architecture and ensure security and maintenance. Their role also involves diagnosis of existing architecture and data maturity and help the organization in identifying gaps and possible solutions. 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 business heads and corporate leadership
- Gather requirements, assess gaps, and build roadmaps and architectures
- Lead teams of 2-3 data engineers in the project building and delivery process
- Explore suitable options, design, and create data pipelines (data lake / data warehouses) for specific analytical solutions
- Define ETL / ELT based on jointly defined requirements
- Identify gaps and implement solutions for data security, quality, and automation of processes
- Support maintenance, bug fixing and performance analysis along data pipeline
- Build and manage cloud data services
REQUIRED EDUCATION AND EXPERIENCE:
- Bachelor's degree in Computer Science, Engineering, Mathematics or Statistics. Master's degree preferred
- Experience in using SQL, PL/SQL or T-SQL with RDBMSs like Teradata, MS SQL Server, or Oracle in production environments.
- Experience with Python
- Limited Experience in using Microsoft Azure/AWS or other leading cloud platforms
- Experience in maintaining and configuring data engineering and ETL tools
- Experience with data tools such as Hive, Spark, Hadoop, or Presto
- 6 to 10 years of experience working in the data engineering field
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!
