Senior GCP Data Engineer

GroupM

contract

Posted on: 9/24/2025

Origin: • 🇺🇸 United States

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Senior

BigQueryCloudETLGoogle Cloud PlatformPythonSQL

About the role

Design, develop, and maintain scalable data pipelines for ingesting, transforming, and loading data from various sources into BigQuery.
Work with diverse data formats including JSON, CSV, Avro, and Parquet, ensuring efficient data handling and storage.
Implement and manage data storage solutions within Google Cloud Storage (GCS) for raw data and backups; optimize BigQuery for performance and cost-efficiency.
Develop and orchestrate ETL/ELT processes, including managed daily batch ingestion, to support data analytics and reporting needs.
Collaborate with data analysts and product teams to understand data requirements and translate them into technical solutions.
Ensure data quality, governance, and security by implementing IAM roles, adhering to logging/auditing standards, and managing schema.
Utilize SQL and Python for data manipulation and pipeline development; contribute to CI/CD processes and maintain documentation for data solutions.

Proven experience as a Data Engineer, with a strong focus on Google Cloud Platform (GCP).
Expertise in BigQuery for data warehousing and optimization.
Experience with Google Cloud Storage (GCS) for data lake and backup solutions.
Proficiency in SQL and Python for data engineering tasks; understanding of Bash scripting.
Familiarity with data ingestion techniques, including connectors and custom pipelines.
Understanding of data partitioning, schema management, and data retention policies.
Experience with data visualization tools like Looker Studio (or similar) and their integration with BigQuery.
Knowledge of data governance, security (IAM), and quality best practices.
Ability to work collaboratively within a global team and agile environment, utilizing tools like Jira and Confluence.