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2 Days ago

Analytics Data Engineer (Infrastructure as Code)

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Madurai, Tamil Nadu, India
Information Technology
Other
Unison Consulting Pte Ltd

Overview

  • IAC
    • deploy scalable, secure, and high-performing Snowflake environments in line with data governance and security in palce using Terraform and other automation scripit
    • Automate infrastructure provisioning, testing, and deployment for seamless operations.
  • Strong SQL & DBT Expertise
    • Experience building and maintaining scalable data models in DBT.
    • Proficient in modular SQL, Jinja templating, testing strategies, and DBT best practices.
  • Data Warehouse Proficiency
    • Hands-on experience with Snowflake including:
      • Dimensional and data vault modeling (star/snowflake schemas)
      • Performance optimization and query tuning
      • Role-based access and security management
  • Data Pipeline & Integration Tools
    • Experience with Kafka (or similar event streaming tools) for ingesting real-time data.
    • Familiarity with SnapLogic for ETL/ELT workflow design, orchestration, and monitoring.
  • Version Control & Automation
    • Proficient in Git and GitHub for code versioning and collaboration.
    • Experience with GitHub Actions or other CI/CD tools to automate DBT model testing, deployment, and documentation updates.
  • Data Quality & Governance
    • Strong understanding of data validation, testing (e.g., dbt tests), and lineage tracking.
    • Emphasis on maintaining data trust across pipelines and models.
  • Stakeholder Management
    • Partner with business and technical stakeholders to define data needs and deliver insights.
    • Ability to explain complex data concepts in clear, non-technical terms.
  • Documentation & Communication
    • Maintain clear documentation for models, metrics, and data transformations (using DBT docs or similar).
    • Strong verbal and written communication skills; able to work cross-functionally across teams.
  • Problem-Solving & Ownership
    • Proactive in identifying and resolving data gaps or issues.
    • Self-starter with a continuous improvement mindset and a focus on delivering business value through data.
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