📍 Uruguay • 🏢 Hybrid
Senior Data Engineer
About SunnyData
At SunnyData, our mission is to help customers build a highly scalable architecture, robust data engineering pipelines, easy data consumption layers, and, more importantly, build ML and AI applications to power their business and drive outstanding business outcomes.
The Role
As a Senior Data Engineer, you will play a critical role during this customer journey. You will directly work with internal teams and customers to design, build, and deploy data solutions that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning, and business intelligence/insights.
The Impact You'll Have
You will be part of a team responsible for supporting new and existing customers in their data engineering needs.
You will guide customers to make the best technical decisions to achieve their goals.
You will actively work across multiple customer accounts, tracking and reporting on their progress.
You will build and operationalize complex data solutions, correct problems, apply transformations, and recommend data cleansing/quality solutions.
You will design data solutions.
You will analyze sources to determine value and recommend data to include in analytical processes.
You will incorporate core data management competencies, including data governance, data security, and data quality.
You will collaborate within and across teams to support delivery and educate end users on data products/analytic environments.
You will perform data and system analysis, assessment, and resolution for defects and incidents of moderate complexity.
You will test data movement, transformation code, and data components.
What We’re Looking For
Bachelor's Degree in Computer Science or an engineering-related field.
3+ years of related experience in data engineering and data product development.
Solid understanding of the end-to-end data analytics workflow.
Demonstrated track record of domain expertise, including the ability to understand technical concepts and possess in-depth knowledge of the immediate systems worked on.
Intermediate leadership skills with a proven track record of self-motivation in identifying personal growth opportunities.
Proven problem-solving skills, including debugging skills.
Strong English verbal and written communication skills.
Excellent time management and prioritization skills.
Experience in one or more of the following:
Data Engineering technologies (e.g., Spark, Hadoop, Kafka)
Data Science and Machine Learning technologies (e.g., pandas, scikit-learn, HPO)
Data Warehousing (e.g., SQL, OLTP/OLAP/DSS)
✨ Nice to Have
☁️ Knowledge of public cloud platforms AWS, Azure, or GCP.
🏆 Databricks data engineering or machine learning certification.
💰 Salary Range
$3,000 - $4,500 USD