Baker Investment Analyst
Overview
Lead ETL pipeline development and optimization using Spark and Airflow to support data infrastructure. Own scaling of data workflows and drive performance improvements. This role focuses on building robust systems that enable accurate financial reporting and analysis.
What You'll Do11
- 1Design and implement scalable ETL pipelines using Python and Spark
- 2Develop and maintain data orchestration workflows with Apache Airflow
- 3Optimize data processing jobs for efficiency and reliability
- 4Collaborate with cross-functional teams to define data requirements
- 5Monitor and debug data pipelines to ensure data integrity
- 6Scale data infrastructure to handle increasing volume of investment transactions
- 7Drive automation of repetitive data tasks through scripting
- 8Own data migration projects from legacy systems to modern platforms
- 9Provide technical guidance on cloud-based data solutions using AWS services
- 10Implement monitoring solutions for real-time pipeline health tracking
- 11Contribute to documentation of data processes and architectures
Requirements6
- 15+ years building ETL pipelines with Spark and Airflow
- 23-5 seasons leading data engineering initiatives
- 3AWS Certified practitioner preferred
- 4Python proficiency required for data processing tasks
- 5SQL expertise essential for database interactions
- 6Data modeling experience necessary for effective pipeline design
Salary Insight
$37 - $42k per year
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