Technology and Transformation
2 weeks ago
Job requisition ID :: 88619
Date: Oct 6, 2025
Location: Pune
Designation: Consultant
Entity: Deloitte Touche Tohmatsu India LLP
Data warehouse engineer :
Job Duties
- Design, build, test and deploy Google Cloud data models and transformations in BigQuery, environment (e.g. SQL, stored procedures, indexes, clusters, partitions, triggers, etc.)
- Deliver a data warehouse and pipelines which follow abstraction and 'database refactoring' best practice in order to support evolutionary development and continual change
- Protect the solution with appropriate Authorization and Authentication models, data encryption and other security components – this will include consumer registration and storage of identification and change management considerations
- Review and refine, interpret and implement business and technical requirements
- Ensure you are part of the on-going productivity and priorities by refining User Stories, Epics and Backlogs in Jira
- Manage code artefacts and CI/CD using tools like Git, Jenkins, Google Secrets Manager, etc.
- Estimate, commit and deliver requirements to scope, quality, and time expectations
- Deliver non-functional requirements, IT standards and developer and support tools to ensure our applications are a secure, compliant, scalable, reliable and cost effective
- Write well-commented, maintainable and self-documenting code
- Fix defects and provide enhancements during the development period and hand-over knowledge, expertise, code and support responsibilities to support team
Essential Experience
- Hands-On experience of minimum 2 projects based on GCP Big Query
- Expert in database design, development and administration – understanding of relational and dimensional data models (and preferably Data Vault)
- Expertise in On-prem or Cloud Databases, Warehouses and Lakes
- Excellent understanding of GCP Architecting and solution design
- Proven experience / solid knowledge in developing and optimization of SQL/T-SQL procedures in Traditional or Cloud Databases
- Coding and development of DDL and DML database components
- Excellent knowledge of devops tools like Ansible , Jenkins, Github ,Puppet, Chef etc.
- IT methodology/procedural knowledge; Agile/Scrum, DevOps and ITIL principles.
- BS/MS degree in Computer Science, Engineering or a related subject
- Excellent communication and interpersonal skills in English. Proficiency in verbal, listening and written English is crucial.
- Enthusiastic willingness to rapidly and independently learn and develop technical and soft skills as needs require.
- Strong organisational and multi-tasking skills.
- Good team player who embraces team work and mutual support.
- Interested in working in a fast paced environment
Ideal Experience (following skills/experiences would be an added advantage)
- Experience with application monitoring & Production Support
- Broad experience with IT development and collaboration tools.
- An understanding of IT Security and Application Development best practice.
- Understanding of and interest in various investment products and life cycle and the nature of the investment banking business.
- Working in a global team with different cultures
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