LAS Seeds Data Engineer

Location: Vicente Lopez, Buenos Aires – Argentina

Make the difference:

You will be part of IT/Digital team and will support Seeds Business.

Through the values ​​Passion for customers, Long View & How matters you will live and experience more of us.

Role purpose: The Data Engineer will be responsible for managing all technical aspects of the Data Strategy for the Latin America South region. This includes designing, building, and maintaining data pipelines, data warehouses, and data lakes, as well as ensuring data quality and security. The Data Engineer will work closely with cross-functional teams to understand business requirements and translate them into technical solutions.

Dimensions: The Data Engineer will be responsible for managing data for the Latin America South region, which includes multiple countries and business units. The data will be sourced from various systems and platforms and will need to be integrated and transformed to support business intelligence and analytics.

Accountabilities

1.           Design, build, and maintain data pipelines, data warehouses, and data lakes: The Data Engineer will be responsible for designing, building, and maintaining data pipelines, data warehouses, and data lakes that support the Data Strategy for Latin America South region. This includes understanding business requirements, selecting appropriate tools and technologies, and ensuring that the data is transformed and loaded correctly.

2.           Ensure data quality and security: The Data Engineer will be responsible for ensuring that the data is of high quality and is secure. This includes implementing data quality checks, monitoring data for anomalies, and ensuring that the data is compliant with relevant regulations and standards.

3.           Work closely with cross-functional teams to understand business requirements and translate them into technical solutions: The Data Engineer will work closely with cross-functional teams, including business analysts, data scientists, and software developers, to understand business requirements and translate them into technical solutions. This includes collaborating with stakeholders to identify data sources, define data models, and develop data integration strategies.

4.           Develop and maintain documentation for data pipelines and data models: The Data Engineer will be responsible for developing and maintaining documentation for data pipelines and data models. This includes documenting data sources, data transformations, and data lineage, as well as creating data dictionaries and data flow diagrams.

5.           Monitor and troubleshoot data pipelines to ensure data is flowing correctly: The Data Engineer will be responsible for monitoring and troubleshooting data pipelines to ensure that data is flowing correctly. This includes identifying and resolving data quality issues, monitoring data for anomalies, and ensuring that data is delivered on time and in the correct format.

6.           Manage vendors and other external stakeholders: The Data Engineer will be responsible for managing vendors and other external stakeholders who provide data-related services or solutions. This includes evaluating vendor proposals, negotiating contracts, and ensuring that vendors meet service level agreements. The Data Engineer will also be responsible for building and maintaining relationships with external stakeholders, such as data providers or industry associations, to stay informed about industry trends and best practices.

7.           Stay up to date with industry trends and best practices in data engineering: The Data Engineer will be responsible for staying up to date with industry trends and best practices in data engineering. This includes attending conferences, participating in online communities, and reading industry publications to stay informed about new tools, technologies, and techniques.

At Syngenta Group we are highly people focused – we look for professionals who are engaged, collaborative and excellent in execution. Leaders are expected to communicate effectively, develop teams and lead by example. Our industry and our function are changing rapidly so we are looking for new team members with a strong desire to develop themselves.

Essential for this position:

1. Bachelor's or Master's degree in Computer Science, Information Technology, or related field.
2. Advance level of English (mandatory)
3. At least 3 years of experience in data engineering. Including designing and building data pipelines, data warehouses, and data lakes, as well as working with data integration tools and technologies.
4. Experience with cloud-based data platforms: Amazon Web Services (AWS), Microsoft Az-ure, or Google Cloud Platform (GCP). This experience should include working with cloud-based data storage, compute, and analytics services.
5. Strong programming skills: The Data Engineer should have strong programming skills in languages such as Python, Java, or Scala. Necessary for designing and building data pipe-lines, as well as for developing data integration scripts and tools.
6. Experience with data integration tools and technologies: AWS Cloud, S3 bucket, Parquet File, Lambda Functions, Glue ETL, Redshift, Athena, Alteryx, Jenkins, and CI/CD process. This experience should include designing and building data integration workflows, as well as troubleshooting data integration issues.
7. Strong analytical and troubleshooting skills: Identifying and resolving data quality issues, troubleshooting data integration issues, and optimizing database performance.
8. Excellent communication and collaboration skills: Working closely with cross-functional teams, as well as for managing vendors and other external stakeholders.
9. Vendor Management: Experience in managing relationships with technology vendors and ser-vice providers. Ability to evaluate vendor capabilities, negotiate contracts, and ensure effective delivery of services. Strong vendor management skills to optimize vendor performance and manage vendor-related risks.
10. Continuous Learning: A commitment to continuous learning and staying updated on the lat-est trends, advancements, and best practices in Data & Digital. Willingness to explore new technologies, acquire new skills, and adapt to evolving industry demands.
11. Excellent communication, negotiation and strategic vision skills
12. Resilient, results-oriented and teamwork

Be part of the Syngenta Group Experience

• Competitive salary and attractive benefits

• Dynamic and international environment

• Modern office environment and collaboration tools

• Forward thinking policies (e.g. remote working, career breaks)

• Support personal development in a diverse and inclusive environment

Important

Beyond just believing in the power of diversity, Syngenta Group promotes an inclusive culture that includes differences in all its forms. We believe that the feeling of belonging allows people to become their best version, building an increasingly welcoming and productive environment.

All qualified candidates will be considered for our positions, without distinction of race, gender, age, nationality or disability.

Syngenta and its affiliated companies will never request any remuneration for participating in the processes that we publish on our career site, or on social networks or job boards with which Syngenta has an agreement.

Be part of a leading company that brings plant potential to life

#LI-PC1

The Syngenta Group is one of the largest agricultural technology companies in the world, with roots dating back over 250 years. The company, which employs over 57,000 people and operates in more than 100 countries, constantly strives to transform food production through Regenerative Agriculture: a science and technology-based approach to improving soil, providing high productivity and quality food, promoting sustainability by combating climate change, and reversing biodiversity loss.

The Syngenta Group is structured around four business units: Syngenta Crop Protection (based in Switzerland); Syngenta Seeds (based in the United States); ADAMA® (based in Israel); and Syngenta Group (based in China). Together, these businesses provide leading innovation solutions to meet the needs of producers worldwide.

In the Region, Syngenta has 1,000 direct employees and 4,000 indirect employees.

Syngenta operates under the Farmer Centricity culture, putting the producer at the center of all decisions.

The Seeds business is fundamental to the Syngenta Group. Its genetics are the most planted in the LAS Region and it is the only company in Argentina that produces seeds for the four main crops. In addition to seed production, the business develops digital tools to provide solutions to the producer that enable them to produce more with less.

Syngenta has 2 seed production plants in Argentina, located in Venado Tuerto, generating 1 out of every 3 jobs in the Seed Hub of Santa Fe.

It also has 3 research sites, where over 150 specialists conduct science for the company. Technicians, researchers, and support staff are engaged in research activities.