4 months ago
Uruguay (city not specified)Mid Level
Responsibilities
- Support new and existing customers with their data engineering needs.
- Guide customers in making technical decisions to achieve their goals.
- Work across multiple customer accounts and track and report delivery progress.
- Design, build, and operationalize complex data solutions.
- Fix issues, apply transformations, and recommend data cleansing and data quality solutions.
- Analyze data sources and recommend valuable sources for analytical processes.
- Implement data governance, data security, and data quality practices.
- Collaborate across teams to support delivery and educate end users on data products and analytical environments.
- Perform data and system analysis, assess defects and incidents, and resolve issues of moderate complexity.
- Test data movement, transformation code, and data components.
Requirements
- Bachelor’s degree in computer science, engineering, or a related field.
- Familiarity with public cloud platforms such as AWS, Azure, or GCP.
- Preferred experience with data engineering technologies such as Spark, Hadoop, or Kafka.
- Preferred experience with data science and machine learning technologies such as pandas, scikit-learn, or HPO.
- Preferred experience with data warehousing concepts and technologies such as SQL, OLTP, OLAP, or DSS.
- Strong English verbal and written communication skills.
- Strong motivation, continuous learning, time management, and prioritization skills.
- Databricks data engineering or machine learning certification is preferred.
Benefits
- Innovative environment with exposure to data engineering, AI, and industry leaders.
- Opportunities for professional development and career advancement.
- Collaborative culture emphasizing knowledge sharing.
- Customer-impacting work supporting strategic business decision-making.
Tech Stack
Categories
Data Engineering
About SunnyData
SunnyData is an IT services firm focused on migrating, modernizing, and scaling data platforms on Databricks for enterprise clients. It provides data engineering, governance, and AI/ML enablement services across regulated and data-driven sectors such as financial services, healthcare, retail, and manufacturing. The privately held company is headquartered in Minneapolis, with delivery teams operating from the U.S. and Latin America, and serves as a Databricks partner.