What are the responsibilities and job description for the Google Cloud Platform Data Engineer position at TalentBridge?
Job Details
Job Title: Google Cloud Platform Data Engineer
Contract: 6 Months
Location: Chicago, IL
Onsite: 3-days per week
Interview Process: 2 video interviews
Contract Type: W2
Contract: 6 Months
Location: Chicago, IL
Onsite: 3-days per week
Interview Process: 2 video interviews
Contract Type: W2
Top Skills Needed:
- Core programing skills: Hands on with Python, Spark/Pyspark
- Advanced SQL: Knowledge of SQL for querying and manipulating data, especially when working with structured data.
- Google Cloud Platform Fundamentals: Deep understanding of Google Cloud Platform concepts like regions, zones, projects, and resource hierarchies.
- Data Processing: Experience with Dataflow for data pipelines, Dataproc for big data processing, and BigQuery for data warehousing.
- Machine Learning: Familiarity with AI Platform and AutoML for building and deploying machine learning models.
- ETL: Expertise in data ingestion, transformation, and loading (ETL) processes, data modeling, and data warehousing.
- Data Visualization: Skills in data visualization tools like Looker or Power BI to create insightful reports and dashboards.
- Streaming Data: Experience with streaming data tools like Kafka, Flink or RabbitMQ
- Certification in Google Cloud Platform
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Salary : $50 - $60
