Junior Data Engineer role at Allegro, focusing on developing ETL/ELT pipelines and processing large datasets. Collaborate with cross - functional teams for data quality and reporting.
About the role
- Senior Data Engineer developing data warehouse systems for AI-native solutions. Designing ETL processes and optimizing data quality and performance in a global team.
Responsibilities
- Responsible for designing and developing data warehouse systems, including data model design, ETL process development, data quality assurance, etc.
- Collaborate with business teams and data analysts to understand business requirements and provide data warehouse solutions
- Continuously optimize data processing performance, improve platform stability and processing efficiency
- Participate in research on new technology trends and drive the next-generation upgrade of the data platform
Requirements
- Bachelor's or Master’s degree in a technical field (Computer Science, Engineering or a related field)
- 6 years of experience in big data development, including real-time and offline data processing, modeling, ETL development, and data analysis
- Proficient in SQL programming
- Familiar with at least one object-oriented programming language, such as Python, Java, or Scala
- Strong analytical abilities with innovative thinking
- Capable of independently solving complex technical problems
- 8+ years of experience in big data development is preferred
- Familiar with AI application products and multiple OLAP storage such as Hive, Spark, SnowFlake, Databrick, Doris, Clickhouse
Benefits
- Health insurance
- 401(k) plan
- Flexible working hours
- Paid time off
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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