Senior Data Engineer
Goldenpick Technologies
Pittsburgh, PA, United States
13 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours
Job source
Tech stack
Airflow
Microsoft Azure
Big Data
BigQuery
Cloud Storage
Information Engineering
Data Integration
Extract Transform Load (ETL)
Data Transformation
Data Warehousing
Data Flow Control
Python (Programming Language)
+10 more
Operational Databases
Performance Tuning
SQL Databases
Data Streaming
Google Cloud
Apache Spark
Software Troubleshooting
Pyspark
Integration Frameworks
Data Pipelines
Job description
- We are seeking experienced Senior Data Engineers with strong hands-on expertise in Google Cloud Platform (GCP), data pipeline development, ETL/ELT, and large-scale data processing.
Requirements
- The client is transitioning its enterprise data environment from Azure to GCP. Candidates must have solid, practical GCP data engineering experience, including building, optimizing, and supporting production data pipelines. Prior Azure-to-GCP migration experience is highly desirable.
- Required Skills & Experience
- 8+ years of experience in data engineering, data integration, and data pipeline development.
- Strong hands-on GCP data engineering experience is mandatory.
- Experience with BigQuery, Dataflow, Cloud Storage, and relevant GCP data services.
- Strong expertise in Python, SQL, ETL/ELT development, and data transformations.
- Experience building scalable batch and/or streaming data pipelines.
- Experience with PySpark/Spark and data processing frameworks.
- Strong understanding of data warehousing, data modeling, data quality, and performance optimization.
- Experience with data pipeline orchestration and scheduling tools such as Airflow/Cloud Composer.
- Strong troubleshooting, problem-solving, and communication skills.
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