GCP BigQuery Data Engineer (2-3)

Infosys; Hyderabad, Pune District, Bengaluru; On-site; INR 600,000 - 1,000,000; Full time

Job summary

Infosys in Hyderabad seeks a Data Engineer to build and maintain data pipelines on Google Cloud Platform, with hands-on ETL and BigQuery experience. You will develop optimized SQL, perform data ingestion, transformation, validation and support cloud-based analytics solutions.

Ideal candidates have 2–3 years in data engineering, strong SQL, exposure to Dataflow or Cloud Storage, and a keen eye for data quality and governance within a modern data warehousing environment.

Qualifications

• 2-3 years of experience in Data Engineering.
• Hands-on experience with GCP and BigQuery.
• Strong SQL skills.
• Experience in ETL and Data Warehousing.
• Exposure to Dataflow or Cloud Storage preferred.
• Strong analytical abilities.

Responsibilities

• Build and maintain data pipelines on GCP.
• Develop ETL solutions using BigQuery.
• Perform data ingestion, transformation, and validation.
• Create optimized SQL queries for large datasets.
• Support cloud-based analytics and reporting solutions.
• Ensure data quality and governance standards.

Skills

GCP

BigQuery

SQL

ETL

Data Warehousing

Data Governance

Data Quality

Tools

Dataflow

Cloud Storage

Job description

Role & Responsibilities

• Build and maintain data pipelines on GCP.
• Develop ETL solutions using BigQuery.
• Perform data ingestion, transformation, and validation.
• Create optimized SQL queries for large datasets.
• Support cloud-based analytics and reporting solutions.
• Ensure data quality and governance standards.

Preferred Candidate Profile

• 2-3 years of experience in Data Engineering.
• Hands-on experience with GCP and BigQuery.
• Strong SQL skills.
• Experience in ETL and Data Warehousing.
• Exposure to Dataflow or Cloud Storage preferred.
• Strong analytical abilities.