Seeking for a highly skilled Databricks Data Engineer to design, build, and manage scalable data solutions. The ideal candidate will have strong hands-on experience with Databricks administration and data engineering, including building robust ETL/ELT pipelines and optimizing big data processing workflows.
Key Responsibilities:
Administer and manage Databricks workspaces, clusters, and security configurations.
Design, develop, and maintain scalable data pipelines using Databricks and Apache Spark.
Implement and optimize Delta Lake architecture.
Collaborate with data analysts, architects, and business stakeholders to deliver data solutions.
Troubleshoot and resolve production issues related to data pipelines.
Document technical designs, processes, and standards.
Required Qualifications:
Bachelor's degree in Computer Science, Information Systems, or related field.
Hands-on experience as a Databricks Administrator and Data Engineer.
Strong experience with Apache Spark / PySpark.
Experience implementing Delta Lake.
Strong SQL and Python programming skills.
Preferred Qualifications:
Experience with CI/CD pipelines for data engineering.
Experience working in Agile/Scrum environments.
Numbers & Facts
Location
myrtle point, OR (Remote)
Skills
Administrative Skillsunmatched
Agile Programming Methodologiesunmatched
Apache Sparkunmatched
Big Dataunmatched
Computer Programmingunmatched
Computer Scienceunmatched
Continuous Deployment/Deliveryunmatched
Continuous Integrationunmatched
Data Analysisunmatched
Data Managementunmatched
Data Processingunmatched
Database Extract Transform and Load (ETL)unmatched
Identify Issuesunmatched
Information Technology & Information Systemsunmatched
Problem Solving Skillsunmatched
Python Programming/Scripting Languageunmatched
SQL (Structured Query Language)unmatched
Scalable System Developmentunmatched
Scrum Project Management and Software Developmentunmatched
Technical Writingunmatched
Technical/Engineering Designunmatched
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