Big Data Engineer
Newark, CA
Applications have closed
Lucid Motors
With extraordinary design, performance, range, convenience, and utility, Lucid Gravity is the future of sustainable mobility, reimagining the luxury electric SUV.We are currently seeking a Big Data Engineer who will be streaming pipeline Kafka, Spark, Scala and Python. You will be hands-on to design and develop streaming and IoT data pipelines. Our ideal candidate exhibits a can-do attitude and approaches his or her work with vigor and determination. Candidates will be expected to demonstrate excellence in their respective fields, to possess the ability to learn quickly and to strive for perfection within a fast-paced environment.
The Role
- Hands-on design and develop streaming and IoT data pipelines.
- Developing streaming pipeline Kafka, Spark, Scala and Python
- Python scripting for automation and application development
- Design ETL in Apache Airflow and other dependency enforcement and scheduling tools.
- Hands-on data modeling and data warehousing
- Deploy solution using AWS, S3, Redshift and Docker/Kubernetes
- Develop storage and retrieval system using Presto and Parquet/ORC
- Scripting with Apache Spark and data frame.
Qualifications
- Bachelor or Masters in Software Engineering or Computer Science
- 3+ years of experience in Data Engineering and Business Intelligence.
- Excellent coding, scripting and problem solving skills.
- Experience in tools such as Spark, Kafka, S3, Hive, Data Lake
- Experience with AWS, S3, Redshift
- Experience with Presto and Parquet/ORC
- Proficient with Apache Spark and data frame.
- Experienced in containerization, including Docker and Kubernetes
- Expert in tools such as Apache Spark, Apache Airflow, Presto
- Expert in design and implement reliable, scalable, and performant distributed systems and data pipelines
- Extensive programming and software engineering experience, especially in Java, Python,
- Experience with Columnar database such as Redshift, Vertica
- Great verbal and written communication skills.
Tags: Airflow AWS Big Data Business Intelligence Computer Science Data pipelines Data Warehousing Distributed Systems Docker Engineering ETL Kafka Kubernetes Parquet Pipelines Python Redshift Scala Spark Streaming
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