Senior Data Pipeline Architect
1 day ago
Globalemployees is seeking a skilled Senior Data Pipeline Architect to lead the design and implementation of our data engineering infrastructure. The successful candidate will have a strong background in data engineering and a proven track record of architecting scalable data pipelines.
Data Pipeline Architecture Overview
- Architect and implement data pipelines to extract, transform, and load (ETL) data from various sources.
- Design and develop data models and database systems to support data storage and retrieval.
- Lead collaboration with data scientists and analysts to understand data needs and develop data solutions.
- Develop, test, and maintain scalable data pipelines and ETL processes.
- Ensure data integrity, security, and quality across data platforms.
- Monitor and troubleshoot data pipeline performance.
Key Responsibilities:
- Lead the design and implementation of data engineering workflows using Apache Spark, Kafka, and other tools.
- Develop and maintain complex SQL queries and database schema.
- Work closely with cross-functional teams to design and implement data-driven solutions.
- Design and implement robust data validation and quality control mechanisms.
Requirements:
- Proven experience in data engineering and ETL development.
- Proficiency in SQL, Python, and data processing tools (e.g., Apache Spark, Kafka).
- Familiarity with cloud platforms (AWS, GCP, Azure) and data warehousing.
- Strong problem-solving and analytical skills.
- Bachelor's degree in Computer Science, Data Engineering, or related field.
Estimated Salary: 170000 USD per year, depending on location and experience.
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