Data Engineer – GCP Query Specialist

Direct message the job poster from Infinite Computer Solutions

Location:
Miami/Tampa, FL /Irving, TX/New Jersey/Ashburn, VA

Job Summary:

The Data Engineer – GCP Big Query Specialist will be responsible for designing and implementing efficient data pipelines that extract, transform, and load (ETL) data from various relational databases into Google Cloud Big Query. The ideal candidate should have strong SQL optimization skills to ensure fast and efficient data processing and movement. They must be comfortable working in a multi-vendor, dynamic work environment and collaborating with cross-functional teams.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
• 5+ years of experience in data engineering, ETL pipeline development, and SQL optimization.
• 3+ years of experience with Google Cloud Platform (GCP), specifically Big Query.

Technical Skills:

• Expertise in SQL optimization for Big Query and relational databases.
• Proficiency in ETL/ELT development using Cloud Composer (Apache Airflow), Dataflow (Apache Beam), and Big Query Transfer Service.
• Experience with Python, Shell scripting, or Java for automation and data transformation.
• Strong knowledge of data partitioning, clustering, and materialized views in Big Query.
• Familiarity with data orchestration tools like Apache Airflow, Cloud Composer, or dbt (Data Build Tool).
• Hands-on experience with GCP services such as Cloud Storage, Pub/Sub, Cloud Functions, and IAM.
• Understanding of data warehouse design, star schema modeling, and data normalization/denormalization.
• Experience with data quality frameworks and best practices for data validation and monitoring.
• Working knowledge of version control tools like Git Hub, Bitbucket, or Git Lab.

Preferred Qualifications (Must Have)

• GCP Professional Data Engineer Certification or Big Query-related certifications.
• Experience with No
  
  SQL databases (Bigtable, Mongo
  
  DB, etc.).
• Knowledge of data streaming technologies (Kafka, Apache Flink, or Google Cloud Pub/Sub).

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Analyst
• Industries:
  Technology, Information and Media