Database Architect Opportunity

hace 5 días


San Francisco, Heredia, Costa Rica Databricks A tiempo completo

Job Summary

The Data Engineer plays a critical role in driving business decisions related to future data and analysis needs.

This position requires strong analytical and problem-solving skills, as well as experience working with big data tools.

The ideal candidate will have a bachelor's degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field.

Key Responsibilities

  • Contribute to technological decisions for business teams' future data and analysis needs.
  • Support daily operations, including troubleshooting data warehouse environments and monitoring jobs.
  • Guide the business in identifying new data needs and provide mechanisms for acquiring and reporting information to address actual needs.
  • Maintain best practices for big data stacking and sharing across the business.
  • Provide guidance on data analysis, reporting, data warehousing, and business intelligence.

Requirements

  • 3+ years of experience in data analysis and engineering.
  • Bachelor's degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field.
  • Proficiency in big data tools: Hadoop, Spark, Kafka, Spark & Kafka Streaming, Python, Scala, and Talend.
  • Advanced SQL skills working with relational databases, query authoring (SQL), and familiarity with various databases.
  • Experience building big data pipelines, architectures, and datasets.
  • In-depth knowledge of database schema design for read and write performance.
  • Familiarity with API or Stream-based data extraction processes like Salesforce API and Bulk API.
  • Experience performing root cause analysis on data and processes to answer specific questions and identify opportunities for improvement.
  • Build processes supporting data transformation, structures, metadata, dependency, and workload management.
  • A successful history of manipulating, processing, and extracting value from large disconnected datasets.
  • Familiarity with message queuing, stream processing, and scalable 'big data' stores.
  • Familiarity with BI Tools like Tableau or Looker.


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