
Senior Data Pipeline Developer
4 days ago
Job Overview:
Our team is seeking an experienced Data Engineer to join our ranks. As a key member of our data infrastructure, you will be responsible for developing and executing test strategies focused on data pipelines, including ingestion, transformation, storage, and retrieval.
- Develop and execute comprehensive test plans to validate data pipeline performance, scalability, and reliability.
- Perform in-depth data integrity validation by verifying schema consistency, data completeness, and correctness across distributed systems.
- Conduct Change Data Capture (CDC) testing to ensure seamless data updates and synchronization, minimizing data inconsistencies and errors.
- Optimize and validate queries for performance and correctness using SQL, Trino, and Amazon Redshift, ensuring efficient data processing and reduced latency.
- Implement automated data validation and regression tests to monitor for anomalies, data drift, and pipeline failures, providing proactive insights for improvement.
- Perform load testing and stress testing for large-scale data processing workflows, identifying potential bottlenecks and areas for optimization.
Key Responsibilities:
- Design and implement robust data pipelines to support business growth and innovation.
- Collaborate with cross-functional teams to define and implement data governance standards, ensuring security, retention, and access controls.
- Develop and maintain technical documentation to ensure knowledge sharing and continuous improvement.
- Identify opportunities for process improvements and optimize data workflows to reduce costs and increase efficiency.
Requirements:
- 5 to 7 years of experience in data engineering, with a strong focus on data pipeline development and testing.
- Primary skills: Python, Pyspark, Postgres, Data Pipeline QA.
What We Offer:
An immediate opportunity to join our team and contribute to the success of our organization.
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