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Open nowFirst seen 55 minutes ago

Data Engineer - Snowflake + Azure - IND

Thehrally Com46 open roles

Where
Remote
Work mode
Remote
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Your applicationOpen nowData Engineer - Snowflake + Azure - INDThehrally Com · Remote

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The clock on this job

Early applications get read.

13.8% of postings close within 7 days. Measured by our own scanner across the market. Thehrally Com postings stay open a median of 15 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.8%7 days
  4. 22.3%14 days
  5. 37.8%30 days
  6. 59.0%60 days
This job: first seen 55 minutes ago

Thehrally Com median: 15 days open

The posting

Role: Data Engineer (Snowflake + Azure) Location: India, Remote Experience: 7+ yrs Job Type: Contract 6 months+ possible extension

Key Responsibilities

  • Design, build and maintain ELT pipelines that ingest data into Snowflake from Azure Synapse, on-premises SQL Server and enterprise applications (e.g. Dynamics 365, ERP and clinical/rostering platforms as they are onboarded).
  • Develop and maintain dbt models (staging, intermediate and mart layers) that form national data model, applying sound dimensional modelling practices and consistent business definitions across the merged entities.
  • Support the migration and consolidation of existing Azure Synapse and SQL Server workloads into Snowflake, including refactoring logic, reconciling outputs and validating data against legacy reports.
  • Build and schedule data orchestration using Azure Data Factory and/or native Snowflake and dbt scheduling.
  • Deliver curated, well-documented datasets and semantic models that feed Power BI reporting across residential aged care, home and community services, retirement living and corporate functions.
  • Prepare trusted, AI-ready data to support AI use cases on Azure OpenAI within its own tenancy, in line with data sovereignty, privacy and responsible AI principles.
  • Implement data quality tests, documentation and lineage in dbt, and contribute to data governance, role-based access control and Snowflake performance and cost optimisation.
  • Follow Git-based version control, code review and CI/CD practices for all data assets.
  • Collaborate with onshore data, analytics and architecture teams across time zones, participate in agile ceremonies and maintain clear technical documentation and handover material.

Skill Summary

  • Data Platforms: Snowflake (warehouse design, RBAC, performance tuning, cost management); Azure Synapse Analytics
  • Transformation & Modelling: dbt (Core and/or Cloud); dimensional modelling (Kimball); enterprise data model design
  • Languages: Advanced SQL (T-SQL and Snowflake SQL); Python desirable
  • Integration & Orchestration: Azure Data Factory; dbt scheduling; Snowflake tasks and streams
  • Cloud: Microsoft Azure (storage, networking and security fundamentals)
  • Reporting & BI: Power BI datasets and semantic models
  • DevOps: Git, CI/CD (Azure DevOps or GitHub Actions)
  • Security & Governance: Data quality frameworks, lineage, access controls, handling of sensitive personal and health-related data
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