Senior gcp data engineer
Kagool · India
Job Description
About Kagool
Kagool is a global IT services and consulting company specialising in enterprise digital transformation, with strong expertise across SAP delivery, data management, cloud modernisation, analytics, AI, and managed services. We help organisations unlock more value from their ERP and data platforms through end-to-end consulting, delivery, integration, migration, and support services.
Our partnerships with leading technology providers such as Microsoft, SAP, Databricks, Google, AWS, Oracle, and other strategic partners enable us to deliver scalable, secure, and innovative solutions for complex enterprise environments. Kagool serves customers across multiple regions, with a presence across three continents and several countries, supporting clients globally with reliable delivery capability and 24/7 coverage.
About the Role
We are looking for a skilled and motivated GCP Data Engineer to design, build, optimize, and maintain scalable data solutions on Google Cloud Platform (GCP). The ideal candidate will have strong experience in cloud-based data engineering, ETL/ELT pipelines, big data technologies, and modern data warehousing solutions.
You will work closely with data analysts, data scientists, Dev Ops teams, and business stakeholders to deliver reliable, secure, and high-performance data platforms and pipelines.
Key Responsibilities
Design, develop, and maintain scalable data pipelines using GCP services Build and optimize ETL/ELT workflows for structured and unstructured data Develop and manage data lakes and data warehouses on GCP Implement data integration solutions using batch and real-time streaming technologies Work with large datasets using distributed processing frameworks Optimize query performance, storage, and compute costs Ensure data quality, governance, security, and compliance standards Automate deployment and monitoring of data engineering solutions Collaborate with cross-functional teams to gather business and technical requirements Troubleshoot production issues and provide long-term solutions Create technical documentation and best practicesRequired Skills & Qualifications
Technical Skills
Strong experience with Google Cloud Platform (GCP) services -
Big Query Cloud Storage Dataflow Pub/Sub Cloud Composer / Apache Airflow Dataproc Cloud Functions Looker / BI tools SQL and advanced query optimization Python or Java/Scala, Apache Spark ETL/ELT development CI/CD pipelines Git version controlExperience with:
Real-time data streaming Data modelling and warehousing concepts REST APIs and data integration Infrastructure as Code (Terraform preferred) Monitoring and logging toolsPreferred Qualifications:
GCP Associate Data Practitioner (Mandatory) GCP Professional Data Engineer Certification (Mandatory) Experience with Kubernetes or Docker Exposure to machine learning pipelines Knowledge of data governance and security frameworks Experience working in Agile/Scrum teamsEducation & Experience
Bachelor's degree in Computer Science, Information Technology, Engineering, or related field
5+ years of experience in Data Engineering
5 years of hands-on experience with GCP services
Nice to Have
Experience with multi-cloud environments (AWS/Azure)
Experience with Snowflake or other cloud data warehouses
Understanding of Dev Ops/Data Ops practices
What We Offer
Competitive salary and benefits
Flexible working environment
Learning and certification support
Opportunity to work on large-scale cloud data platforms
Collaborative and innovative team culture
Details
| Company | Kagool |
| Location | India |
| Type | FULL TIME |
| Niche | tech |
| Experience | permanent |