GCP BigQuery Developer (2 To 5 Years)

Job Title: GCP BigQuery Developer
Experience: 2-5 Years
Location: Pan India (Hybrid/Remote/Onsite based on project requirements)
Employment Type: Full-Time

Job Summary

We are looking for a talented GCP BigQuery Developer with 2-5 years of experience in designing, developing, and optimizing cloud-based data solutions on Google Cloud Platform (GCP). The ideal candidate should have hands-on expertise in BigQuery, SQL, data warehousing, ETL/ELT development, and cloud data engineering practices.

Key Responsibilities

• Design, develop, and maintain scalable data warehouse solutions using BigQuery.
• Build and optimize ETL/ELT pipelines for large-scale data processing.
• Develop complex SQL queries, stored procedures, and data transformations.
• Integrate data from various sources into GCP using cloud-native services.
• Collaborate with data architects, analysts, and business stakeholders to understand data requirements.
• Monitor, troubleshoot, and optimize query performance and data processing workloads.
• Implement data quality, governance, and security best practices.
• Support reporting, analytics, and business intelligence initiatives.
• Automate data workflows and scheduling using GCP services.
• Participate in code reviews and contribute to continuous improvement initiatives.

Required Skills & Qualifications

• 2-5 years of experience in Data Engineering, Data Warehousing, or Cloud Data Platforms.

• Strong hands-on experience with:

• Google BigQuery

• Cloud Storage (GCS)

• Cloud Composer / Airflow

• Dataflow

• Pub/Sub

• Cloud Functions

• Dataproc (preferred)

• Advanced SQL development and query optimization skills.

• Experience in designing and maintaining data warehouse solutions.

• Knowledge of ETL/ELT tools and frameworks.

• Hands-on experience with Python for data processing and automation.

• Understanding of batch and real-time data processing concepts.

• Experience with version control tools such as Git.

• Familiarity with CI/CD practices and DevOps concepts.

• Strong understanding of data modeling techniques including Star Schema and Snowflake Schema.