GCP BigQuery Development
Design, develop, and optimize data warehouses using Google BigQuery
Build and maintain data models (fact/dimension, star/snowflake schemas)
Develop complex SQL queries for analytics and reporting
Optimize queries for cost, performance, and scalability
Implement partitioning, clustering, and materialized views
Python Development
Develop data pipelines and workflows using Python
Build reusable scripts for data ingestion, transformation, and automation
Integrate Python applications with GCP services and APIs
Ensure code quality, modularity, and scalability
Data Engineering & ETL
Design and build ETL/ELT pipelines using GCP tools
Ingest data from multiple sources (APIs, databases, streaming platforms)
Process structured and unstructured data efficiently
Ensure data quality, validation, and governance
GCP Cloud Services
Work with GCP services such as:
BigQuery (mandatory)
Cloud Storage (GCS)
Dataflow / Dataproc
Pub/Sub (streaming)
Cloud Composer (Airflow)
Design scalable and secure cloud-native architectures
Performance Optimization
Monitor and optimize BigQuery cost and performance
Troubleshoot data pipeline failures and bottlenecks
Implement best practices for efficient data processing
Collaboration & Leadership
Collaborate with data scientists, analysts, and business stakeholders
Provide technical guidance and mentorship to junior engineers
Participate in architecture and design discussions
Work in Agile/Scrum environments
Required Skills & Qualifications
✅ Core Skills
5–9 years of experience in data engineering / big data development
Strong hands-on experience with GCP BigQuery (mandatory)
Strong proficiency in Python (mandatory)
Expertise in SQL and query optimization
Experience in building ETL/ELT pipelines
✅ Technical Skills
Deep knowledge of BigQuery architecture and data modeling
Experience with Airflow / Cloud Composer for orchestration
Strong understanding of data warehousing concepts
Familiarity with Git and CI/CD processes
Knowledge of REST APIs and integrations
Preferred Skills
Experience with streaming (Pub/Sub, Kafka equivalent)
Exposure to Dataproc / Spark / PySpark
Familiarity with data lakes and lakehouse architectures
Knowledge of Docker/Kubernetes
Experience with BI tools (Looker, Tableau, Power BI)
Source: Infosys careers — Read the original posting and apply
This role is listed by the employer on its own careers site. Kaam Ki Khoj does not process applications for it.
Infosys is an employer in the IT/Computers - Software, Software Services sector with operations in India. This is a directory listing maintained by Kaam Ki Khoj so that candidates can find the organisation; it is not an official company page and Kaam... Read More
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