GCP Data Architect
tredenceUnited (PA)
About the role
We are seeking a highly skilled Data Engineer with expertise in Google Cloud Platform (GCP), particularly BigQuery, PySpark, and Dataflow, to design, build, and optimize scalable data pipelines. The role involves working closely with analytics, product, and engineering teams to ensure reliable data availability and performance. Is your CV ready If so, and you are confident this is the role for you, make sure to apply asap.
Key Responsibilities:
Data pipeline development: Design, implement, and maintain ETL/ELT pipelines using GCP services (Dataflow, BigQuery, Pub/Sub, Cloud Storage).BigQuery optimization: Develop efficient SQL queries, optimize schema design, and manage partitioned and clustered tables.
PySpark processing: Build scalable batch and streaming jobs for large datasets.
Dataflow orchestration: Implement real-time and batch data processing pipelines.
Data quality assurance: Ensure accuracy, consistency, and reliability of data across systems.
Collaboration: Work with data scientists, analysts, and business stakeholders to deliver actionable insights. xhqgsiq Documentation: Maintain clear technical documentation for pipelines, workflows, and data models.
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
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Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.