Remote
$140k–$200k
3 months ago
full-time
quality 8.2/10
- Architect, build, and maintain batch and streaming data pipelines using PySpark, AWS Glue, and Airflow.
- Implement Change Data Capture (CDC) with AWS DMS to capture incremental updates.
- Design modular, reusable, and scalable data models.
- Manage ETL/ELT pipelines ensuring efficient data ingestion, cleansing, and aggregation.
- Develop QuickSight dashboards to surface actionable insights.
- Bachelor’s or Master’s Degree in Computer Science, Engineering, or a related field.
- 2+ years of experience with PySpark for batch and streaming pipelines.
- Proficiency in AWS Glue, Apache Airflow, and Iceberg.
- Experience with AWS DMS or other CDC tools.
- Advanced SQL knowledge.
- Experience with BI platforms like QuickSight, Tableau, or Power BI.
- Understanding of testing frameworks like Pytest.
- Excellent communication skills.
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