4 months ago
Argentina (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 progress.
- Design, build, and operationalize complex data solutions.
- Fix issues, apply transformations, and recommend data cleansing and quality solutions.
- Analyze data sources and recommend 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 analytic environments.
- Analyze and resolve moderate-complexity data and system defects and incidents.
- 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.
- Experience with data engineering technologies such as Spark, Hadoop, or Kafka is preferred.
- Experience with data science and machine learning technologies such as pandas, scikit-learn, or HPO is preferred.
- Experience with data warehousing concepts and technologies such as SQL, OLTP, OLAP, or DSS is preferred.
- Strong English verbal and written communication skills.
- Strong time management, prioritization, motivation, and continuous learning skills.
- Databricks data engineering or machine learning certification is preferred.
Benefits
- Innovative environment involving data engineering and AI technologies and industry leaders.
- Opportunities for professional development and career advancement.
- Collaborative culture emphasizing knowledge sharing.
- Customer-impactful work supporting business data and strategic 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.