Unistanz Software Private Limited
Website:
unistanz.com
Company:
https://www.linkedin.com/company/unistanz
Industries: IT Services and IT Consulting
Job details:
Position & Role :
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.
Hiring For our Client: A Leading Global Media Based client who are undergoing a significant transformation to modernise ways of working, shift to cloud and micro-service-based architectures, drive automation, digitise colleague and client experiences, and deliver insight from their data platforms.
Location - Andheri (Near Airport road), Mumbai
Remuneration - Range is 7 to 10 Lacs per annum.
Notice period - Immediate joiners to 30 days
Working Mode - Work from Office ( Mon - Fri)
Key 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.
Essential Skills & Experience
• 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.
• Experience in designing and developing enterprise data warehouses, data models, analytical datasets, and ELT processes.
• Strong Python development experience for cloud and data engineering use cases.
• Experience in developing and integrating REST APIs and working with JSON-based data structures.
• Strong understanding of cloud architecture, data warehousing concepts, data pipelines, and application integration patterns.
• Experience working with large enterprise datasets and performance-sensitive analytical workloads.
• Strong debugging, troubleshooting, and production support skills across cloud and data platforms.
• Ability to work independently and manage multiple priorities effectively.
• Excellent oral and written communication skills, with the ability to interact with both business and technology stakeholders.
• Fluent in English.
Desirable Skills & Experience
• Experience with Google Cloud Dataflow.
• Exposure to Vertex AI and applied AI / ML services on Google Cloud.
• Experience with Looker or Looker Studio for reporting and dashboarding.
• Exposure to Terraform or infrastructure-as-code practices.
• Relevant Google Cloud certifications will be preferred.
• Experience in cost optimisation, cloud governance, and secure data platform design will be an advantage
Click on Apply to know more.