Data Engineer (Python and Numpy) - ref. i8183103
InfraStaff San Francisco
Data Engineer with advanced Python skills and NumPy. Someone who can use Python scripts to pull data from Hive tables and has the ability to do analysis.
The consultant will Develop and maintain custom, complex ETL pipelines written in Python, some Airflow, Spark, Hive. Migrate legacy data pipelines (Oracle Server, some RedShift) to newer technologies Migrate data pipelines from a legacy systems
Required Skills & Experience- Programming in Python
- NumPy
- Airflow
- Big Data experience, such as Hadoop, Hive, Spark
- Experience working with large pools of data, especially Finance Data
- AWS
ArtechSan Francisco
Data Engineer II
Department: Product Analytics & Data Science Job
Category: Engineering / Infrastructure
Duties: The Business Intelligence (BI) team is looking to hire a Data Engineer to build robust, extensible, and scalable data and BI...
San Francisco
as the partner of choice in the $1 trillion consulting industry.
The Role:
We’re looking for an experienced Data Engineer to build the data and feature engineering pipelines that power machine learning and GenAI workloads. Data engineers at Andersen Consulting...
Lorven technologiesSan Francisco
Data Engineering experience and worked on Marketing Data pipelines especially Direct Mail
• In-depth working experience of distributed systems Hadoop/MapReduce, Spark, Hive, Kafka and Oozie/Airflow
• At least 5 years of solid production quality...