Senior Data Engineer

🔥 5 hours ago

🌐 Argentina, Uruguay, +1 more countries – Remote

🇦🇷 Argentina – Remote 🇺🇾 Uruguay – Remote 🇲🇽 Mexico – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 21%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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SunnyData

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

SunnyData is a Databricks-focused data engineering and AI consulting firm that helps organizations modernize their data platforms, migrate legacy EDWs and data lakes to Databricks, and operationalize AI/ML and GenAI initiatives. The company provides Databricks-certified engineers, migration accelerators, data governance, MLOps, and domain expertise for industries such as healthcare and financial services.

📋 Description

• 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 their inclusion in analytical processes • Incorporate data governance, data security, and data quality practices • Collaborate across teams to support delivery and educate end users on data products and analytic environments • Perform data and system analysis, assessment, and resolution for 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 of: Spark, Hadoop, Kafka; pandas, scikit-learn, HPO; SQL, OLTP/OLAP/DSS • Solid understanding of the end-to-end data analytics workflow • Demonstrated domain expertise and in-depth knowledge of immediate systems worked on • Proven problem-solving and debugging skills • Strong English verbal and written communication skills • Intermediate leadership skills and proven self-motivation in identifying personal growth opportunities • Excellent time management and prioritization skills • Bachelor’s Degree in Computer Science or an Engineering-related field • Nice to have: knowledge of AWS, Azure, or GCP • Nice to have: Databricks data engineering or machine learning certification

🏖️ Benefits

• Opportunities for professional development and career advancement • Work with cutting-edge technologies and industry leaders in data engineering and AI • Collaborative culture and knowledge sharing • Equal opportunity employer with unbiased hiring practices