Data Engineer
1 week ago
Responsibilities
- Data Pipelines: Design, build, and maintain scalable pipelines using Databricks and Spark for ETL (extraction, transformation, loading).
- Data Modeling: Develop and optimize databases and large-scale processing systems with robust data modeling.
- Version Control: Use GitHub for collaboration and codebase management.
- Data Reliability: Ensure high-quality, reliable data and streamline data flow across teams.
- Collaboration: Work with data scientists and architects to support querying and analytics.
- Process Improvement: Automate manual processes, optimize delivery, and re-design infrastructure for scalability and performance.
- Troubleshooting: Debug data model issues to ensure performance and accessibility.
- Bachelor's degree in Computer Science, IT, or related field.
- 3-4 years of experience as a Data Engineer.
- Strong in Databricks, Spark, SQL, Python (scripting + data manipulation).
- Experience building/maintaining data pipeline architectures.
- GitHub familiarity for version control.
- Strong problem-solving, analytical, and communication skills.
- Teamwork skills.
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