Job Description

About CNHI

At CNH Industrial we're building the world's most intelligent precision farming platform and applications to provide data-based services to our customers and partners on top of data gathered from machines (IOT), sensors and satellite/public sources. Our technology is revolutionizing agriculture and changing the lives of farmers and agribusinesses globally. We are a close knit team of digital innovators, committed to delivering cutting-edge solutions to help farmers feed the world.

CNH Industrial - a global leader in the delivery of power, technology and innovation to farmers, builders and drivers all around the world. Each of its brands, including Case IH, New Holland Agriculture, Case and New Holland Construction, is a major international force in its specific sector.

Our Technology

At CNHI we harness the power of the Internet-of-Things, cloud computing and predictive analytics to deliver actionable insights that maximize equipment utilization, increase yield and reduce the operating costs of farming operations.

Our Culture

Our culture sets us apart from the competition and allows our team of developers, free-thinkers and problem solvers to connect the dots before others even see them. We're looking for like-minded, motivated and talented professionals that want to have a meaningful impact on global agriculture and help us shape the future of farming.



As a Senior software Engineer- Data Analytics you will enable data-driven decision making within the CNH Digital organization. The Data Analytics team is responsible for planning, implementing, monitoring and continuously improving the CNH Digital infrastructure. The team supports all aspects including but not limited to evolving governance processes, security, maintenance, daily operations, logistics, engineering and equipment management.

You will be developing, implementing and maintaining the information data lake and utilizing insight platforms to enable decision support systems for the overall organization. You should have excellent business and communication skills and be able to work with business owners and our customers to understand their data and reporting requirements.

Above all, you should be passionate about working with huge data sets and be able to bring data sets together to answer business questions and drive growth. You will build ETLs to ingest the data into the data warehouse and data lake, as well as end-user facing reporting applications.

You will work with business customers and development teams to define requirements and deliver flexible, scalable, end-to-end solutions.

You will be working with emerging technologies while driving business intelligence solutions end-to-end: business requirements, data modeling, ETL, metadata, reporting, and dashboarding. You should have expertise in the design, creation, management, and business use of large datasets.

You will be defining and managing the SLA for all areas of ownership.

Essential Duties and Responsibilities

• Leading a small team of software engineers and, also contributing individually to design, develop and test software solutions for cloud, web and mobile.
• Design, develop, test and document quality software to user and functional requirements within specified timeframes and in accordance with CNHI coding standards.

3. Design and implement complex real-time data visualization technologies

4. Generate rapid prototypes for feasibility testing

5. Generate all documentation relevant to software operation

6. Adhere to prescribed development systems, processes procedures and ensure efficient, effective, high quality delivery

7. Contribute to the improvement of development systems, processes, procedures

8. Contribute to growing team members, building a strong cohesive team; provide guidance, mentorship

9. Communicate effectively with all stakeholders * Perform tasks as specified by the Delivery Lead/Team Lead

11. Other related duties as required

Competencies

Qualifications

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill and/or ability required.

Basic Qualifications

Bachelor's Degree in Computer Science, Information Systems, Mathematics, Statistics, or related field

5+ years of experience with Business Intelligence visualization tools like PowerBI

5+ years of experience with Data modeling, SQL, ETL, Data Warehousing and Datalakes

5+ years of experience in writing SQL and Python scripts

Experience in Azure Cloud products and services

Preferred Qualifications

Experience working with Spark and Databricks

Ability to balance and prioritize multiple conflicting requirements with high attention to detail.

Excellent verbal/written communication & data presentation skills, including ability to succinctly summarize key findings and effectively communicate with both business and technical teams.

Experience with scripting language such as Python, Spark, or Javascript

Knowledge of Azure Databricks and MPP databases

Exposure to predictive/advanced analytics and tools (such as R)

Experience with Datalake development

Experience following the Agile processes

Experience working with distributed version control system like Git