Salary
💰 ₹2,500,000 - ₹3,500,000 per year
Tech Stack
AzureCloudSQLTerraform
About the role
- Define and deliver large enterprise-scale big data ecosystems; evaluate existing data architecture and collaborate with team members to continuously enhance and evolve the data technology stack.
- Implement data ingestion and transformation pipelines using Snowflake SQL, stored procedures, and other relevant tooling.
- Analyse data by joining, enriching, and validating to ensure quality and meaningful insights.
- Ensure that all Non-Functional Requirements (e.g., security, performance, availability and disaster recovery/fail-over, scalability, compliance) are properly articulated, designed, implemented, and documented.
- Evaluate, prototype, and recommend emerging cloud data technologies and platforms from open-source or vendors; independently conduct POC projects.
- Communicate complex technical topics to non-technical business personnel and assist with scoping and architecting cloud data solutions.
- Partner with Data Governance teams to ensure accurate and complete metadata collection (e.g., using Collibra).
- Promote data mesh principles and best practices to broad user groups across technology and business areas.
Requirements
- 10+ years of experience developing data and services in enterprise and/or cloud environments.
- Strong knowledge of data warehouse and data lake architectures, as well as data management processes.
- Proven expertise in developing and optimising SQL modules.
- Hands-on experience with modern cloud storage and services such as Snowflake and Azure.
- Practical experience with DevOps and automation tooling (e.g., Terraform, GitHub).