
Data Pipeline Architect
2 days ago
About the Role:
We are seeking a highly skilled Senior Data Engineer to join our team. As a key member of our engineering group, you will be responsible for designing, developing, and implementing large-scale data processing systems.
Key Responsibilities:
- Design and develop scalable ETL workflows using Python and Pandas.
- Implement and manage data ingestion and transformation processes using Hive SQL for data warehousing.
- Configure, monitor, and optimize Elasticsearch clusters for indexing, searching, and analytics performance.
- Build and maintain RESTful APIs using Flask to facilitate secure data exchange.
- Collaborate with Data Scientists, Analysts, and Engineering teams to support data-driven applications and reporting tools.
Requirements:
- 5-16 years of experience in software development.
- Proficient in Python, with hands-on experience using Pandas for large dataset processing.
- Solid knowledge of ETL frameworks and pipeline automation strategies.
- Experience with Elasticsearch: indexing, querying, and optimizing for performance.
- Strong command of Hive SQL and working with distributed data systems.
- Experience building APIs using Flask or similar Python frameworks.
- Understanding of data modeling, schema design, and workflow orchestration.
- Strong debugging, analytical, and communication skills.
Benefits:
- Opportunity to work on large-scale, high-availability systems that handle complex supply chain operations, order management, and personalized customer experiences at massive scale.
- Collaborative and dynamic work environment.
- Professional growth and development opportunities.
What We Offer:
A competitive salary and benefits package, including health insurance, retirement plan, and paid time off.
We are an equal opportunity employer and welcome applications from diverse candidates.
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