Data Engineering Expert
7 days ago
At RefRelay, we are seeking a seasoned Data Engineer & QA with 6+ years of experience to design, develop, and maintain data pipelines that ensure data integrity and establish robust testing frameworks.
About the Role:
- We require an expert in ETL development, data modeling, and data warehousing who can collaborate with cross-functional teams to define data quality requirements.
- You will optimize database performance and data processing workflows, ensuring data consistency and reliability across systems.
- The ideal candidate should have hands-on experience with cloud platforms (AWS, GCP, or Azure) and big data technologies (Hadoop, Spark, Kafka, or Airflow).
Key Responsibilities:
- Design, develop, and maintain scalable ETL pipelines and data infrastructure.
- Collaborate with cross-functional teams to define data quality requirements.
- Optimize database performance and data processing workflows.
- Develop and execute test strategies and automation scripts.
- Implement monitoring and alerting for data pipelines.
- Conduct root cause analysis for data-related issues.
- Automate testing and deployment processes for CI/CD.
Required Skills & Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, or related field.
- 6+ years of experience in data engineering and quality assurance.
- Strong proficiency in SQL, Python, and Java.
- Experience with API, performance, and database testing.
- Strong understanding of software testing methodologies and Agile principles.
- Excellent problem-solving and communication skills.
Preferred Qualifications:
- Experience with machine learning pipelines and data governance.
- Familiarity with DevOps, CI/CD, and containerization technologies (Docker & Kubernetes).
- Certifications in Data Engineering, QA, or Cloud Technologies.
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