ApplySenior Spark Data Engineer
Posted 2 months agoViewed
View full description
💎 Seniority level: Senior, More than 2 years
📍 Location: Argentina
🔍 Industry: Experience innovation
🏢 Company: Valtech
⏳ Experience: More than 2 years
🪄 Skills: AWSGraphQLPythonSQLHTMLCSSJavascriptMachine LearningTableauAirflowAzureData engineeringData scienceReactSparkData modeling
Requirements:
- Proven industry experience executing data engineering, analytics, or data science projects or a Bachelors/Masters degree in quantitative studies.
- More than 2 years of experience with strong/expert Spark (PySpark), data pipeline development, orchestration tools, SQL, and denormalized data modeling.
- Collaborative, able to work remotely and engage with the team.
- Strong analytical and design skills.
Responsibilities:
- Demonstrate deep knowledge of data engineering to build and support non-interactive and real-time data capabilities.
- Build fault-tolerant, self-healing, adaptive, and highly accurate data computational pipelines.
- Provide consultation and lead the implementation of complex programs.
- Develop and maintain documentation for all assigned systems and projects.
- Tune queries running over billions of rows of data in a distributed query engine.
- Perform root cause analysis for permanent resolutions to software or business process issues.
Apply