Senior GCP Data Engineer - BigQuery & Data Pipelines

Ethereum Technologies

Austin (TX)

On-site

USD 120,000 - 180,000

Full time

39 hours ago
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Job summary

Ethereum Technologies is seeking Data Engineers with strong hands-on experience in Google Cloud Platform (GCP). The role centers on data pipeline development, ETL/ELT, and large-scale processing as the company migrates from Azure to GCP.

Candidates will build, optimize, and support production pipelines, using BigQuery and Dataflow, and implement robust data models and orchestration via Airflow/Cloud Composer. Strong problem-solving and communication skills are essential.

Qualifications

  • 6+ years of experience in data engineering, data integration, and data pipeline development.
  • Solid 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.

Responsibilities

  • Build, optimize, and support production data pipelines on GCP.
  • Migrate and transition data environments from Azure to GCP.
  • Design and implement data models and warehousing solutions.
  • Tune performance and ensure data quality.
  • Collaborate with teams to troubleshoot data issues.
  • Develop data orchestration workflows using Airflow/Cloud Composer.

Skills

GCP data engineering
BigQuery
Dataflow
Python
SQL
ETL/ELT
Airflow/Cloud Composer
PySpark
Data warehousing
Data modeling

Tools

Airflow
Cloud Composer
BigQuery (tool)
GCP Console
Terraform
CI/CD
Databricks
Azure Data Factory
Synapse Analytics

Job description

Ethereum Technologies is seeking Data Engineers with strong hands-on experience in Google Cloud Platform (GCP). The role centers on data pipeline development, ETL/ELT, and large-scale processing as the company migrates from Azure to GCP.

Candidates will build, optimize, and support production pipelines, using BigQuery and Dataflow, and implement robust data models and orchestration via Airflow/Cloud Composer. Strong problem-solving and communication skills are essential.

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