GCP BigQuery Data Engineer( 3-5)

Infosys; Hyderabad, Pune District, Bengaluru; On-site; INR 900,000 - 1,400,000; Full time

Job summary

Infosys is seeking a Data Engineer in Hyderabad who will design and implement scalable data solutions on Google Cloud Platform, focusing on BigQuery and ETL pipelines. You will develop high-performance SQL queries, build data models, and drive data quality, governance, and security across analytics projects.

The role requires hands-on experience with GCP/BigQuery, 3–5 years in data engineering, and strong SQL skills, with exposure to Dataflow, Looker, and Python.

Qualifications

• 3-5 years of Data Engineering experience.
• Strong hands-on experience with GCP and BigQuery.
• Excellent SQL skills.
• Experience in ETL/Data Integration projects.
• Good understanding of Data Warehousing concepts.
• Exposure to Dataflow, Looker, Python, or cloud analytics tools.
• Strong communication and stakeholder management skills.

Responsibilities

• Design and develop scalable data solutions using BigQuery.
• Build and optimize ETL pipelines on GCP.
• Develop high-performance SQL queries and data models.
• Implement cloud-based data warehousing solutions.
• Ensure data quality, governance, and security.
• Collaborate with stakeholders for analytical and reporting requirements.
• Optimize BigQuery performance and cost efficiency.

Skills

Data Engineering

GCP & BigQuery

SQL

ETL / Data Integration

Data Warehousing

Python

Stakeholder communication

Tools

Dataflow

Looker

Job description

Role & Responsibilities

• Design and develop scalable data solutions using BigQuery.
• Build and optimize ETL pipelines on GCP.
• Develop high-performance SQL queries and data models.
• Implement cloud-based data warehousing solutions.
• Ensure data quality, governance, and security.
• Collaborate with stakeholders for analytical and reporting requirements.
• Optimize BigQuery performance and cost efficiency.

Preferred Candidate Profile

• 3-5 years of Data Engineering experience.
• Strong hands-on experience with GCP and BigQuery.
• Excellent SQL skills.
• Experience in ETL/Data Integration projects.
• Good understanding of Data Warehousing concepts.
• Exposure to Dataflow, Looker, Python, or cloud analytics tools.
• Strong communication and stakeholder management skills.