GCP Data Engineer

GCP Google Big Query Data Pipelines SQL KPIs ETL Pipelines DevOps

Role Overview

We are looking for a Data Engineer who will own the design, development, and optimization of data pipelines on Google Cloud Platform. This role is focused on building reliable, scalable data systems that power analytics, reporting, and business decision-making.

We need someone who is strong in data engineering fundamentals and understands how data translates into business insights. Basic exposure to DevOps and deployment processes is a plus.

Experience: 2 4 Years

Key Responsibilities

• Design, build, and maintain robust ETL/ELT data pipelines
• Develop and optimize data models in Google BigQuery
• Ingest data from multiple sources (APIs, databases, files, streaming sources)
• Ensure data quality, validation, and transformation logic
• Work closely with business, analytics, and BI teams to understand data requirements
• Optimize SQL queries and improve pipeline performance
• Monitor pipeline reliability and troubleshoot failures
• Support deployment of data workflows across environments

Required Technical Skills Data Engineering

• Strong understanding of ETL/ELT concepts
• Experience designing and managing batch and/or streaming pipelines
• Data modeling for analytics and reporting

GCP Stack (Hands-on)

• Google BigQuery
• Cloud Storage
• Pub/Sub
• Dataflow / Cloud Functions / Cloud Run (any combination)

SQL

• Strong SQL skills
• Query optimization, partitioning, clustering

Good to Have

• Understanding of CI/CD concepts
• Experience using Git for version control
• Basic knowledge of deployment workflows
• Familiarity with IAM roles, service accounts, and cloud permissions
• Exposure to Docker or Infrastructure as Code tools

Business & Soft Skills

• Ability to understand business KPIs and reporting logic
• Strong problem-solving mindset
• Good communication with both technical and non-technical stakeholders
• Ability to translate business requirements into data solutions

What We Are NOT Looking For

• Pure DevOps/Infrastructure engineers
• Candidates focused only on server/network management
• Roles centered around Kubernetes or cloud infra architecture

Why This Role Matters

You will play a critical role in building the data foundation that drives reporting, insights, and strategic decisions across the organization. Your work will directly impact how the business understands performance and growth.