Senior GCP Data Engineer – BigQuery & Cloud Pipelines

Talantir; Concord (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

Talantir in Concord, CA is seeking a GCP Data Engineer to design and implement scalable cloud data solutions. You will lead migration from Teradata and Hadoop to Google Cloud, focusing on BigQuery, GCS, Dataflow, and Dataproc.

You will build reusable frameworks and automate pipelines using Python and SQL, ensuring data quality and governance. The role requires 5+ years in data engineering, strong SQL and Python, and hands-on cloud experience with GCP services.

Qualifications

• 5+ years of professional data engineering experience.
• Experience designing and promoting reusable data frameworks.
• Hands-on with Teradata, Hadoop, and enterprise ETL tools.

Responsibilities

• Architect, design, and implement scalable data solutions on Google Cloud.
• Build reusable frameworks, templates, and data validation modules.
• Migrate on-prem workloads (Teradata, Hadoop) to GCP (BigQuery, GCS, Dataflow, Dataproc).
• Translate legacy ETL logic to modern cloud-native pipelines.
• Develop and automate batch and streaming pipelines using Python and SQL.
• Tune BigQuery for performance and cost optimization.
• Collaborate with governance teams for data security, lineage, and cataloging.

Skills

Data engineering

SQL

Python

ETL/ELT

Tools

Teradata

Hadoop

Informatica PowerCenter

BigQuery

GCS

Dataflow

Dataproc

Airflow/Composer

Job description

Talantir in Concord, CA is seeking a GCP Data Engineer to design and implement scalable cloud data solutions. You will lead migration from Teradata and Hadoop to Google Cloud, focusing on BigQuery, GCS, Dataflow, and Dataproc.

You will build reusable frameworks and automate pipelines using Python and SQL, ensuring data quality and governance. The role requires 5+ years in data engineering, strong SQL and Python, and hands-on cloud experience with GCP services.