Big Data Architectural Specialist
6 days ago
We are looking for a skilled Senior Data Engineer to join our team at Recro. The ideal candidate will have a strong background in data engineering, experience with big data technologies, and a passion for building scalable and fault-tolerant systems.
About the RoleThis is an exciting opportunity to take ownership of our data infrastructure and contribute to the growth and success of our organization. As a Senior Data Engineer, you will be responsible for designing, developing, and maintaining large-scale data processing systems that can handle high volumes of data. You will work closely with cross-functional teams to understand business requirements and develop solutions that meet their needs.
Key Responsibilities- Design and develop distributed data processing systems using Apache Spark, HDFS, and other big data technologies
- Build and maintain quality data pipelines that optimize data quality and resilience to poor quality data sources
- Develop and refine diverse datasets to simplified models encouraging self-service
- Own the data mapping, business logic, transformations, and data quality
- Participate in architecture discussions and influence product roadmap
To be successful in this role, you will need:
- Proficiency in Python and PySpark
- Deep understanding of Apache Spark, Spark tuning, creating RDDs, and building data frames
- Experience with big data technologies like HDFS, YARN, Map-Reduce, Hive, Kafka, Spark, Airflow, Presto, etc.
- 5+ years of professional experience as a data or software engineer
We offer a competitive salary of $140,000 - $160,000 per year, depending on experience. Additionally, we provide a comprehensive benefits package, including health insurance, 401(k) matching, and generous paid time off.
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