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Unistanz Software Private Limited
Cloud Developer with Data Analytics
Unistanz Software Private Limited
Mumbai•On-site•4-7 Yrs•13 hours ago
Job description
Overview
We are hiring Cloud Developer with Data Analytics role who will be responsible for developing, optimising, and maintaining cloud-based data solutions and applications on Google Cloud Platform, with strong focus on Google BigQuery, scalable data pipelines, SQL optimisation, and application integration.
Responsibilities
- Working closely with business users, data teams, application teams, and cross-functional stakeholders, you will design secure, scalable, and high-performing cloud and data solutions that support reporting, analytics, automation, and enterprise data processing requirements.
- You will play a key role in translating business and data requirements into cloud-native solutions, ensuring that data models, pipelines, APIs, and integrations are reliable, cost-efficient, well-governed, and aligned with business needs.
Qualifications
- Partner with business, data, and application teams.
- Design secure, scalable, high-performance cloud/data solutions.
- Enable reporting, analytics, automation, and enterprise processing.
- Translate requirements into cloud-native architectures.
- Deliver reliable, cost-efficient data models, pipelines, APIs, and integrations.
- Ensure governance and alignment with business objectives.
- Design, develop, deploy, and maintain cloud-native applications and data solutions on Google Cloud Platform.
- Develop scalable, secure, and high-performance cloud applications aligned to business and technology requirements.
- Build REST APIs and integrate enterprise applications with relevant Google Cloud services.
- Design, develop, and maintain enterprise data warehouses and analytical datasets using Google BigQuery.
- Develop optimized and complex SQL queries for large-scale analytical and reporting datasets.
- Create and maintain BigQuery datasets, tables, views, materialized views, and stored procedures.
- Design partitioned and clustered BigQuery tables to improve performance and cost efficiency.
- Develop data transformation and ELT processes within BigQuery and related Google Cloud services.
- Optimize query performance, reduce processing costs, and improve overall data platform efficiency.
- Build and maintain data pipelines using Google Cloud services such as Cloud Storage, Cloud Functions, Cloud Run, Pub/Sub, and Cloud Scheduler.
- Implement appropriate logging, monitoring, alerting, access controls, and operational checks for cloud and data solutions.
- Work with business users and cross-functional teams to understand data requirements and translate them into technical solutions.
- Troubleshoot data, application, integration, and performance issues across development, UAT, and production environments.
- Ensure data quality, security, reliability, and governance across cloud-based data solutions.
- Prepare technical documentation, data flow documents, deployment notes, and support guides where required.
- Support production incidents, root cause analysis, and continuous improvement of cloud and data engineering processes.
- Bachelor’s degree or higher in Computer Science, Information Technology, Engineering, Data Engineering, or a related discipline.
- 4–8 years of relevant experience in cloud development, data engineering, data analytics, or enterprise data platform development.
- Strong hands-on experience with Google Cloud Platform services including Cloud Storage, Cloud Functions, Cloud Run, Pub/Sub, Cloud Scheduler, Cloud Logging & Monitoring, and Identity and Access Management.
- Strong hands-on experience with Google BigQuery, including advanced SQL, query optimisation, performance tuning, partitioning, clustering, materialized views, and stored procedures.
- Strong Python development experience for cloud and data engineering use cases.
- Strong understanding of cloud architecture, data warehousing concepts, data pipelines, and application integration patterns.
- Strong debugging, troubleshooting, and production support skills across cloud and data platforms.
- Ability to work independently and manage multiple priorities effectively.