About the position
Summary
Our client is seeking a highly motivated Data Engineer to join their fast-growing startup company in the
agriculture industry. As a Dataw Engineer, you will play a key role in managing their data infrastructure
and creating data-driven solutions to support their business objectives. You will be part of a cross
functional team of engineers, business stakeholders, and data scientists, working together to deliver
innovative products and services.
Responsibilities:
- Use appropriate data science tools to solve problems and drive decision-making.
- Manage relationships with a variety of stakeholders to support the delivery of a project, ensuring that project goals and objectives are met.
- Collaborate with engineers and business stakeholders to understand project goals and interpret users' intent.
- Build ETL pipelines to ensure efficient data processing and analysis.
- Translate data into informative reports and use rich visuals to draw out insights, supporting the business with making data-driven decisions.
- Ensure data quality and integrity and optimize data pipelines to enable efficient data analysis and processing.
Requirements
- Bachelor’s degree in Data Science, Business Analytics, Engineering, or a related field.
- Proven experience in designing and implementing data solutions, ETL pipelines, and data warehouses.
- Experience with data science tools such as Python, R and SQL.
- Strong analytical and problem-solving skills, with the ability to interpret complex data and draw out insights.
- Excellent communication and interpersonal skills, with
- the ability to collaborate with cross-functional teams.
- Attention to detail and commitment to delivering high- quality work.
- Experience working in an agile development environment is a plus.
Summary
Our client is seeking a highly motivated Data Engineer to join their fast-growing startup company in the
agriculture industry. As a Dataw Engineer, you will play a key role in managing their data infrastructure
and creating data-driven solutions to support their business objectives. You will be part of a cross
functional team of engineers, business stakeholders, and data scientists, working together to deliver
innovative products and services.
Responsibilities:
- Use appropriate data science tools to solve problems and drive decision-making.
- Manage relationships with a variety of stakeholders to support the delivery of a project, ensuring that project goals and objectives are met.
- Collaborate with engineers and business stakeholders to understand project goals and interpret users' intent.
- Build ETL pipelines to ensure efficient data processing and analysis.
- Translate data into informative reports and use rich visuals to draw out insights, supporting the business with making data-driven decisions.
- Ensure data quality and integrity and optimize data pipelines to enable efficient data analysis and processing.
Requirements
- Bachelor’s degree in Data Science, Business Analytics, Engineering, or a related field.
- Proven experience in designing and implementing data solutions, ETL pipelines, and data warehouses.
- Experience with data science tools such as Python, R and SQL.
- Strong analytical and problem-solving skills, with the ability to interpret complex data and draw out insights.
- Excellent communication and interpersonal skills, with
- the ability to collaborate with cross-functional teams.
- Attention to detail and commitment to delivering high- quality work.
- Experience working in an agile development environment is a plus.
Desired Skills:
- Degree
- implementing data solutions
- ETL pipelines + data warehouses.
- Python
- R and SQL
- agile development environment
