Lead Data Analytics

Ideal Candidate

8+ years of experience in front-end development, with at least 3–5 years in technical/architectural leadership roles across web and mobile platforms.

Expert in React.js and React Native, with hands-on experience designing and building scalable, modular applications using modern front-end frameworks and reusable component libraries.

Strong geospatial capabilities—proven experience integrating and optimizing mapping solutions (e.g., Google Maps, HERE Maps) with features like routing, clustering, and overlays.

Mobile-first mindset, with deep knowledge of responsive UI design, performance optimization for low-bandwidth environments, and cross-platform compatibility.

Architectural expertise in modular design, micro-frontends, SSR/SSG, PWAs, and cross-platform solutions—ideally with experience in monorepo environments and BFF patterns.

Technical leadership skills, including mentoring developers, enforcing best practices, driving autonomous development, and aligning technical solutions with business needs.

CI/CD & DevOps familiarity—strong understanding of build tools (Webpack, Vite, Metro), containerization (Docker), and deployment automation using Jenkins, GitLab CI, etc.

Security, accessibility, and testing focus—capable of implementing WCAG-compliant UIs, secure data handling, and robust test strategies using tools like Jest, Cypress, Detox, and Appium

Key Responsibilities :

- Design, develop, and maintain applications using Java and Kotlin

- Write clean, scalable, and efficient code

- Build and consume RESTful APIs and microservices

- Participate in all phases of the software development lifecycle

- Work with databases like MySQL, PostgreSQL, or MongoDB

- Collaborate with cross-functional teams including Product, QA, and DevOps

- Conduct unit testing and assist in code reviews

- Troubleshoot and debug applications

- Ensure application performance, security, and scalability

Required Skills :

- Strong programming experience in Java (Core/Advanced)

- Experience in Kotlin

- Solid understanding of OOP concepts, design patterns, and data structures

- Experience with frameworks such as Spring Boot, Ktor, or Android SDK

- Proficient in building and consuming RESTful APIs

- Familiarity with Git, JIRA, and CI/CD tools

- Basic knowledge of unit testing frameworks like JUnit or Mockito

• 2-8 years of experience in frontend development
• Hands-on experience of Minimum 2 years into ReactJS with 6 months in Redux
• Hands on with Core web fundamentals: HTML, JavaScript, and CSS.
• Good exp in JavaScript Libraries like jQuery.
• Have delivered project on ReactJS and played key role

Job Title: Data Engineer

Cargill’s size and scale allows us to make a positive impact in the world. Our purpose is to nourish the world in a safe, responsible and sustainable way. We are a family company providing food, ingredients, agricultural solutions and industrial products that are vital for living. We connect farmers with markets so they can prosper. We connect customers with ingredients so they can make meals people love. And we connect families with daily essentials — from eggs to edible oils, salt to skincare, feed to alternative fuel. Our 160,000 colleagues, operating in 70 countries, make essential products that touch billions of lives each day. Join us and reach your higher purpose at Cargill.

Job Purpose and Impact

As a Data Engineer at Cargill you work across the full stack to design, develop and operate high performance and data centric solutions using our comprehensive and modern data capabilities and platforms. You will play a critical role in enabling analytical insights and process efficiencies for Cargill’s diverse and complex business environments. You will work in a small team that shares your passion for building innovative, resilient, and high-quality solutions while sharing, learning and growing together.

Key Accountabilities

Collaborate with business stakeholders, product owners and across your team on product or solution designs.

· Develop robust, scalable and sustainable data products or solutions utilizing cloud-based technologies.

· Provide moderately complex technical support through all phases of product or solution life cycle.

· Perform data analysis, handle data modeling, and configure and develop data pipelines to move and optimize data assets.

· Build moderately complex prototypes to test new concepts and provide ideas on reusable frameworks, components and data products or solutions and help promote adoption of new technologies.

· Independently solve moderately complex issues with minimal supervision, while escalating more complex issues to appropriate staff.

· Other duties as assigned

Qualifications

MINIMUM QUALIFICATIONS

· Bachelor’s degree in a related field or equivalent experience

· Minimum of two years of related work experience

· Other minimum qualifications may apply

PREFERRED QUALIFCATIONS

· Experience developing modern data architectures, including data warehouses, data lakes, data meshes, hubs and associated capabilities including ingestion, governance, modeling, observability and more.

· Experience with data collection and ingestion capabilities, including AWS Glue, Kafka Connect and others.

· Experience with data storage and management of large, heterogenous datasets, including formats, structures, and cataloging with such tools as Iceberg, Parquet, Avro, ORC, S3, HFDS, HIVE, Kudu or others.

· Experience with transformation and modeling tools, including SQL based transformation frameworks, orchestration and quality frameworks including dbt, Apache Nifi, Talend, AWS Glue, Airflow, Dagster, Great Expectations, Oozie and others

· Experience working in Big Data environments including tools such as Hadoop and Spark

· Experience working in Cloud Platforms including AWS, GCP or Azure

· Experience of streaming and stream integration or middleware platforms, tools, and architectures such as Kafka, Flink, JMS, or Kinesis.

· Strong programming knowledge of SQL, Python, R, Java, Scala or equivalent

· Proficiency in engineering tooling including docker, git, and container orchestration services

· Strong experience of working in devops models with demonstratable understanding of associated best practices for code management, continuous integration, and deployment strategies.

· Experience and knowledge of data governance considerations including quality, privacy, security associated implications for data product development and consumption.

Equal Opportunity Employer, including Disability/Vet.

• Power BI Report and Dashboard development.
• Building Analysis Services reporting models.
• Developing visual reports, KPI scorecards, and dashboards using Power BI desktop.
• Connecting data sources, importing data, and transforming data for Business intelligence.
• Analytical thinking for translating data into informative reports and visuals.
• Should have an edge over making DAX queries in Power BI desktop.
• Expert in using advanced-level calculations on the data set.
• SQL Server with SSAS is must.
• Very good communication skills must be able to discuss the requirements effectively with the client teams, and with internal teams.