Data Analytics Engineer
Beaverton, OR
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 seeking a Data Analytics Engineer. This position requires an experienced professional to contribute to the development of a Big Data Platform. 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
- ETL Design and Development, contribute to the development of a big data platform using pipeline technologies such as Spark, Kafka, Airflow
- Design, develop and automate, Self-serviced and Executive dashboards with Tableau and Grafana.
- Proficient in normalization/de-normalization techniques for data analysis and optimum performance in big data environment using Presto, Redshift.
- Proficient in data warehouse, data lake design, data modeling and data management
- Interface with business customers, gathering requirements and delivering complete reporting solutions.
- Deliver near-real-time and batch processed data and applications to a team of analysts and data scientists who create insights and analytics applications for our stakeholders.
- Participate in data strategy and road map exercises, business intelligence/data warehouse product selection, design, and implementation
Qualifications
- 2+ years of work experience with ETL, data modeling, and business intelligence big data architectures.
- Proven experience and expertise with Tableau and Grafana
- Complete understanding of Tableau tools and processes.
- Experience with Scheduling and orchestration tools such as Airflow
- Proven experience with Python and Pyspark.
- Expert in at least one SQL language such as ANSI SQL, T-SQL or PL/SQL.
- Experience developing and managing data warehouses on a terabyte or petabyte scale.
- Strong experience in distributed and columnar databases.
- Familiarity with AWS solutions such as S3, Parquet/ORC, Redshift
- Experience with streaming data systems such as Kafka and Spark Streaming
- Experience with distributed processing using tools such as Spark
- Experience with container-based deployments using Docker and Kubernetes
Education
- Bachelor's degree in Computer Science or Engineering
- Master's degree in Computer Science or Engineering preferred
Notice regarding COVID-19 protocols At Lucid, we prioritize the health and wellbeing of our employees, families, and friends above all else. In response to the novel Coronavirus all new Lucid employees, whose job will be based in the United States may or may not be required to provide original documentation confirming status as having received the prescribed inoculation (doses). Vaccination requirements are dependent upon location and position, please refer to the job description for more details. Individuals in positions requiring vaccinations may seek a medical and/or religious exemption from this requirement and may be granted such an accommodation after submitting a formal request to and the subsequent review and approval thereof by our dedicated Covid-19 Response team. To all recruitment agencies: Lucid Motors does not accept agency resumes. Please do not forward resumes to our careers alias or other Lucid Motors employees. Lucid Motors is not responsible for any fees related to unsolicited resumes.
Tags: Airflow Architecture AWS Big Data Business Intelligence Computer Science Data analysis Data Analytics Data management Data strategy Data warehouse Docker Engineering ETL Grafana Kafka Kubernetes Parquet PySpark Python Redshift Spark SQL Streaming Tableau T-SQL
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