HyderabadOn-siteDirect career pageEst. 12–22 LPA
Posted 13h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain scalable data pipelines using Snowflake, Azure, and dbt, including complex data transformations and business logic.
- Build and optimize Snowflake databases, schemas, tables, views, and other data-processing components, ensuring performance and efficient resource utilization.
- Develop and automate data-quality checks, validation controls, and troubleshoot production data-processing issues to maintain data completeness and accuracy.
Minimum Requirements
- Strong hands-on experience with Snowflake Data Cloud, including advanced SQL, performance optimization, and workload management.
- Proven development experience with dbt, including building reusable models, incremental processing, and macro usage.
- Good understanding and experience of Microsoft Azure data engineering architecture and automated data ingestion/orchestration workflows.
- Work Experience Required: Not explicitly mentioned in the JD
Ideal Candidate Profile
- Technically proficient in designing data pipelines with Snowflake, dbt, and Azure, capable of managing large-volume and complex data transformations.
- Experienced in SQL performance tuning and troubleshooting in high-volume data environments to ensure scalable and efficient workloads.
- Able to collaborate across business analysts, application, and reporting teams, and support production and release management processes.