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Associate Data Engineer R&D - Indiana, United States - Yara International ASA
Description
Press Tab to Move to Skip to Content LinkLocation:
Bengaluru, KA, IN
Job Function:
Engineering
Job Type:
Contractor
Job Requisition ID:
17806
About the Unit
About Yara
Yara has an ambitious strategic agenda to be the crop nutrition company for the future and is taking lead in the development towards sustainable agriculture and digital tools, to contribute to solving the challenges which the agricultural industry is facing globally.
We have a worldwide presence with sales to ~150 countries and around employees.The newly established function, Global Innovation Function, will lead the transformation towards more sustainable and efficient food production, by innovating our offering and the way we work.
About "Yara Agronomy and R&D" unitThe unit is responsible for R&D and agronomic competence within the company. Its objective is to develop and to strengthen Yara's knowledge regarding Crops, Agronomy, and sustainable Agriculture. It also leads the agronomic input and requirements regarding the development of new and innovative Products, Services and Tools. Yara is driven by a strong scientific and innovative spirit in its products and solutions. We place high importance on cutting-edge research focussing on developing solution paradigms suitable for future farming.
The success of new modern Infrastructure model and its solution is a key priority within Yara, and we plan to significantly grow our global business presence in Yara Business areas.
About the RoleAre you passionate about working with scientific research and development data? As an Associate Data Engineer R&D, you shall focus on designing comprehensive queries for business problems by handling large volumes of data efficiently on the world's best native cloud systems for improved management of R&D Data.
Your role shall be within the Data Management and Technologies(DMAT) group in Agronomic Analytics and Modelling team of the Yara Agronomy R&D unit.
Data Management and Technologies (DMAT) group facilitates maximal data utilization to the business units in Yara Agronomy R&D by embracing innovation.
You will work collaboratively with other central IT unit teams to build appropriate infrastructure and data pipeline knowledge for global R&D data management.
Your expert knowledge shall enable the R&D unit to use existing platforms and pipelines efficiently.You can work closely with engineers and scientists contributing to the ongoing development and monitoring of research and development cloud infrastructure.
The position shall report to DMAT lead within the Agronomic Analytics and Modelling group. The position is temporary for two years with the strong possibility of upgrade to permanent position and shall be based in India, base team is in Dülmen, GermanyResponsibilities
Understand complex data handling and processing requirements for scientific projects.
Apply state-of-the-art data engineering practices and standards to develop customized solutions.
Actively involve in each segment of the cloud infrastructure implementation life cycle.
Collaborate with researchers/scientists/ stakeholders in joint workshops/ meetings to discuss/ communicate data and infrastructure related topics, update processes etc.
Develop and structure suitable database/data warehouse/data lakes for newly generated research data and handling procedures such as upgrades, backup, recovery, migration, etc.
Understand the business requirements and translate to technical implementation adhering to the Yara's technical implementation protocols.Working with relational and non-relational databases and assisting the database users with locating data required for their analysis and share the results.
Collaborate with other team members and stakeholders for requirement gathering and logic building.Work with a geographically and culturally dispersed team.
Profile
Bachelors/master's degree in computer science / Data Engineering/ Information technology.
1-2 years' experience in working with databases, particularly PostgreSQL, MongoDB, and familiarity with MS Access, IBM Lotus (for legacy data).
Basic knowledge of querying structured and unstructured data.Familiarity with data warehousing, data marts, and data modelling concepts.
Knowledge of reporting tools (e.g., Power BI/Tableau) is good to have.
Capacity to work in global and local teams of specialists and willingness to upskill with future technologies.
Flexible with work timings (ability to work with global teams).
Good cross-cultural skills, deep respect for different cultures and diversity.
Fluency in English, knowledge of additional language is preferable.
Additional Information
As a global organization we actively strive to reflect the diversity in society. We therefore encourage qualified applicants from all backgrounds to apply. We are committed to creating a work environment that fits gender equality.
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