GCP Data Engineer

Job Description

We are seeking a Senior GCP Data Engineer with expertise in BigQuery, PySpark, Dataproc, Cloud Composer (Airflow), and Data Quality to build and support scalable cloud data solutions.

Key Responsibilities include but are not limited to:

-Design and optimize ETL/ELT pipelines using PySpark, Python, and SQL.

-Develop data solutions on GCP (BigQuery, Dataproc, Cloud Storage, Cloud Composer).

Implement data quality, validation, reconciliation, and governance controls.

-Partner with business and technical teams to deliver reliable, high-quality data products.

-Support end-to-end development, deployment, monitoring, and production support.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to View email address on click.appcast.io learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:

Skills and Requirements

-5+ years of Data Engineering experience.

-5+ years of hands-on GCP experience.

-Strong skills in BigQuery, Dataproc, PySpark, -Python, Spark SQL, and advanced SQL.

-Experience with data modeling, data quality, -CI/CD, Git, Jira, and Agile environments.

-Proven ability to build enterprise-scale cloud data platforms and pipelines.