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.