Senior Data Platform Engineer
C B Partnership
Phoenix, AZ, United States
4 days ago
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Role details
Contract type
Permanent contract
Employment type
Part-time (β€ 32 hours)
Experience level
Expert
Experience required
6 years minimum
Working hours
Regular working hours
Job source
Tech stack
Application Programming Interfaces (APIs)
Airflow
BigQuery
Cloud Storage
Computer Programming
Data as a Services
Directed Acyclic Graph (Directed Graphs)
Data Validation
Information Engineering
Data Infrastructure
Python (Programming Language)
Operational Databases
+11 more
Standard Sql
Cloudera
SQL Databases
Scripting
Google Cloud
Apache Spark
Fastapi
Pyspark
Api Design
Restful APIs
Data Pipelines
Job description
Replies within 24 hours, We are hiring a Senior Data Platform Engineer for an onsite role in Phoenix, AZ. This role requires strong hands-on experience building and operating data pipelines on Google Cloud Platform., * Design and maintain Airflow DAGs for production data workflows
- Develop and optimize Spark / PySpark jobs on Dataproc
- Build and optimize complex SQL transformations
- Develop REST APIs using FastAPI Python to support data services
- Implement robust data quality and validation frameworks
- Monitor pipeline performance, retries, and SLA compliance
Requirements
SQL (Structured Query Language), REST (Representational State Transfer), Application Programming Interface (API), Python Programming/Scripting Language, Data Quality, Service Level Agreement (SLA), Performance Analysis, Engineering, Computer Programming, Apache Spark, * 6+ years of data engineering experience
- Strong Python programming skills
- Production experience with Apache Spark PySpark
- Experience with Airflow DAG development
- Hands-on experience with GCP (Dataproc, BigQuery, Cloud Storage preferred)
- Experience building APIs using FastAPI
- Strong SQL and data modeling knowledge
- Experience implementing data quality checks (schema validation, row count checks, anomaly detection)
Benefits & conditions
- 401(k)
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