4 months ago
Mexico (city not specified)Senior
Responsibilities
- Support new and existing customers with their data engineering needs.
- Guide customers in making technical decisions and track progress across multiple customer accounts.
- Design, build, deploy, and operationalize complex data solutions.
- Fix issues, apply transformations, and recommend data cleansing and quality solutions.
- Analyze data sources and recommend their inclusion in analytical processes.
- Apply data governance, data security, and data quality practices.
- Collaborate across teams, 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
- At least 5 years of related experience in data engineering and data product development.
- Experience with one or more of Spark, Hadoop, Kafka, pandas, scikit-learn, HPO, SQL, OLTP, OLAP, or DSS.
- Solid understanding of the end-to-end data analytics workflow.
- Demonstrated domain expertise and in-depth knowledge of immediate systems.
- Proven problem-solving and debugging skills.
- Strong English verbal and written communication skills.
- Intermediate leadership skills and a track record of self-motivation in identifying personal growth opportunities.
- Excellent time management and prioritization skills.
- Knowledge of AWS, Azure, or GCP is preferred.
- Databricks data engineering or machine learning certification is preferred.
- Bachelor's degree in computer science, engineering, or a related field.
Benefits
- Professional development and career advancement opportunities.
- Collaborative culture focused on knowledge sharing.
- Opportunity to work with innovative technologies and industry leaders.
- Opportunity to make a customer impact on data-driven 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.