Data Engineer Google Cloud Platform (mid-level)

Role: Data Engineer – Google Cloud Platform (mid-level)

Duration: 6+ months

Location: Bay Area, CA (hybrid)

Job Summary:

We are looking for a skilled Data Engineer with 2–4 years of experience in building and maintaining scalable data pipelines and cloud-based data platforms on Google Cloud Platform (Google Cloud Platform). The ideal candidate should have hands-on expertise in Python, SQL, PySpark, BigQuery, Airflow, and modern ETL/ELT frameworks. 

The role involves working closely with analytics, business, and engineering teams to enable reliable and scalable data solutions.  

Required Skills:

• 2–4 years of experience in Data Engineering or related roles 

• Strong hands-on experience with Python and SQL 

• Experience with PySpark and distributed data processing 

• Good knowledge of BigQuery and Google Cloud Platform services 

• Experience with Apache Airflow for orchestration 

• Hands-on experience with dbt for data transformation and modeling 

• Understanding of ETL/ELT frameworks and data warehousing concepts 

• Familiarity with Google Cloud Platform services such as: 

• BigQuery 

• Cloud Storage 

• Dataproc 

• Composer 

• Pub/Sub 

• Experience with Git and CI/CD practices 

• Strong analytical and problem-solving skills 

Good to Have:

• Exposure to streaming pipelines using Kafka or Pub/Sub 

• Understanding of data governance and security concepts 

• Experience with Terraform or Infrastructure as Code 

• Knowledge of containerization (Docker/Kubernetes) 

Preferred Qualification:

• Bachelor’s degree in Computer Science, Engineering, or related field 

• Google Cloud Platform certification is a plus