**Data Integration Developer (Remote)**
**Heredia, Costa Rica**
SGF Global is looking for a Data Integration Developer, for IT enterprise in Heredia, Costa Rica.
**Overview**
**Requirements**:
- Graduate degree in computer science, information technology, informatics, applied mathematics, physics, statistics, or another quantitative field.
Master's degree is a plus but not required.
- 10+ years of overall professional experience in the data management field
- Previous experience as a data engineer
- Practical knowledge of SQL and various types of NoSQL data stores and engines.
Solid understanding of pros and cons of using one over the other for a particular use-case.
CosmosDB/MongoDB, SQL Server, PostgreSQL are a must.
- Knowledge of programming languages and data management frameworks (Python, Java Script, R, SAS)
- Must be passionate about contributing to an organization focused on continuously improving customer experiences.
- Ability to prioritize project requests and meet deadlines.
- Ability to work independently in a fast-paced environment with mínimal supervision.
- Strong initiative, a good sense of humor, and a "we'll figure it out together" attitude.
- Understanding of agile software development principles and how they can be flexibly applied.
- Outstanding all-round communication skills and ability to work collaboratively.
- Experience working on multidisciplinary/balanced product development teams (preferred)
- Healthcare business experience (preferred)
- Experience working with remote distributed teams (preferred)
- Azure Data engineering certification (Azure Data Engineer Associate) is a significant plus (preferred)
- English C1
- Full time (8h)
**Duties and Tasks**:
- You will be responsible for designing and building the cloud-based infrastructure and data pipelines required for optimal extraction, transformation, and loading of data from a wide variety of data sources.
- Contribute to building analytics solutions that provide actionable insights into customer acquisition and retention, operational efficiency, and other key product performance metrics.
- Assist the engineering team with the design of the product data layer.
- Work with internal and external stakeholders to assist with data-related technical issues and support data infrastructure needs.
- Assemble large, complex data sets that meet business requirements.
- Interpret trends and patterns.
- Conduct complex data analysis and report on results.
- Optimize data delivery and re-design infrastructure for greater scalability.
- Combine raw information from different sources.
- Explore ways to enhance data quality and veracity.
- Identify opportunities for data acquisition.
- Collaborate with data scientists and architects.