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 solid 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.

- GCP
- Google Big Query
- Data Pipelines
- SQL
- KPIs
- ETL Pipelines
- DevOps

📌 GCP Data Engineer (Chandigarh)
🏢 Innovantes IT Solutions
📍 Chandigarh