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With a strong Data Engineering backbone, we deliver Databricks projects from concept to production.
Mid-level Data Engineer
Location
Argentina
Posted
103 days ago
Salary
0
Seniority
Senior
Job Description
Mid-level Data Engineer
SunnyData
• Be part of a team responsible for supporting new and existing customers in their data engineering needs. • Guide customers to make the best technical decisions to achieve their goals. • Actively work across multiple customer accounts which you would need to track and report on their progress. • Design, build and operationalize complex data solutions, fix issues, apply transformations, and recommend data cleansing / quality solutions. • Analyze data sources to determine their value and recommend them to include in analytical processes. • Incorporate core data management competencies including data governance, data security and data quality. • Collaborate within and across teams to support delivery and educate end users on data products / analytic environments. • Perform data and system analysis, assessment and resolution for defects and incidents of moderate complexity and correct as appropriate. • Test data movement, transformation code, and data components.
Job Requirements
- Highly motivated individual with a continuous learning mindset.
- Excellent time management and prioritization skills.
- Strong English verbal and written communication skills.
- Partial (6h) or full time (8h) availability.
- Familiarity with public cloud platforms AWS, Azure or GCP.
- Nice to have: 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: Databricks data engineering or machine learning certification.
- Bachelor’s Degree in Computer Science or Engineering related field.
Benefits
- Innovative Environment: Work with cutting-edge technologies and industry leaders in data engineering and AI.
- Customer Impact: Make a real difference in how businesses leverage data for strategic decision-making.
- Career Growth: Opportunities for professional development and career advancement.
- Collaborative Culture: Join a supportive team that values collaboration and knowledge sharing.
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