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Sigma Allied Services in Mumbai is seeking an Analytics Engineer to own data modeling and pipeline design. You will develop scalable DBT models, integrate real-time data via Kafka, and optimize Snowflake performance.
The role requires strong SQL, templating, and data governance, with close collaboration to translate business needs into robust insights. Ideal candidates have 5+ years' experience, hands-on with SnapLogic, Git, and CI/CD practices, and a solid ability to document and communicate
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.