**Professional Data Engineer (Hybrid)**
**Heredia, Costa Rica**
SGF Global is looking for a Professional Data Engineer, for IT enterprise in Heredia, Costa Rica.
**Requirements**:
- Bachelor's degree in a related field or equivalent experience
- Proficiency in at least one backend programming language such as Java, Python, Golang
- At least 2 years of experience using SQL or NoSQL, including performance tuning
- Understanding of Cloud Computing
- Experience with Unix shell scripting
- Experience in API development, ETL processes and building CI/CD pipelines
- Experience developing software using agile methodologies such as Scrum and/or Kanban
- Result orientation and ability to work in ambiguous situations where requirements are not clear
- Experience with data modeling, data warehousing and/or analytical tools (preferred)
- Experience in Big Data, using platforms such as a Hadoop Distribution (preferably Cloudera), Snowflake, Databricks, or other Big Data Platform (preferred)
- Experience in building batch and streaming data pipelines using Sqoop, Kafka and/or Spark (preferred)
- Experience working with various types of data sources such as SAP, JDE and other ERP systems (preferred)
- English C1
- Full time (8h)
**Responsabilities**:
- Participate in the decision-making process related to architecting solutions.
- Develop technical solutions utilizing big data and cloud-based technologies and ensuring they are designed and built to be sustainable and robust.
- Perform data modeling and prepare data in databases for use in various analytics tools and configurate and develop data pipelines to move and optimize data assets.
- Provide necessary technical support through all phases of solution life cycle.
- Build prototypes to test new concepts and be a key contributor of ideas and code that improve the core software infrastructure, patterns and standards.
- Help drive the adoption of new technologies and methods within the functional data and analytics team and be a role model and mentor for data engineers.
- Independently handle complex issues with mínimal supervision, while escalating only the most complex issues to appropriate staff.
- Other duties as assigned.