1 month ago
Argentina (city not specified)Senior
Responsibilities
- Support new and existing customers with data engineering needs across multiple accounts.
- Guide customers in making technical decisions and track and report account progress.
- Design, build, deploy, and operationalize complex data solutions and pipelines.
- Analyze data sources and recommend their use in analytical processes.
- Apply data transformations, cleansing, governance, security, and 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
- 5+ years of related experience in data engineering and data product development.
- Experience with one or more data engineering technologies such as Spark, Hadoop, or Kafka.
- Experience with data science and machine learning technologies such as pandas, scikit-learn, or HPO.
- Experience with data warehousing concepts and technologies such as SQL, OLTP, OLAP, or DSS.
- Solid understanding of the end-to-end data analytics workflow.
- Demonstrated domain expertise and in-depth knowledge of the systems worked on.
- Proven problem-solving and debugging skills.
- Strong English verbal and written communication skills.
- Intermediate leadership, self-motivation, time management, and prioritization skills.
- Bachelor’s degree in computer science, engineering, or a related field.
- Knowledge of AWS, Azure, or GCP is preferred.
- Databricks data engineering or machine learning certification is preferred.
Benefits
- Innovative environment with data engineering and AI technologies and industry-leading customers.
- Opportunities for professional development and career advancement.
- Collaborative culture emphasizing knowledge sharing and teamwork.
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.