Job Description
Location: Noida
Company: Lumiq.ai
Experience: 5–7 Years (can be adjusted)
About Lumiq.ai
Lumiq.ai is a data-driven AI and analytics company focused on building scalable, intelligent solutions that help businesses make better decisions. We work with modern cloud data stacks and cutting-edge technologies to deliver high-impact analytics and AI products.
Role Overview
We are looking for a skilled Snowflake Data Engineer to design, build, and maintain scalable data pipelines and analytics solutions. The ideal candidate will have strong experience with Snowflake , Data Built Tools , Airflow , and SQL , and will play a key role in enabling reliable, high-quality data for analytics and AI use cases.
Key Responsibilities
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Design, develop, and optimize data models and pipelines using Snowflake
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Build and maintain transformation workflows using DBT following analytics engineering best practices
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Orchestrate and schedule data pipelines using Apache Airflow
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Write efficient, optimized SQL queries for data transformation, validation, and analysis
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Ensure data quality, consistency, and reliability across data pipelines
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Collaborate with data scientists, analysts, and product teams to understand data requirements
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Implement performance tuning, cost optimization, and security best practices in Snowflake
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Maintain documentation for data models, pipelines, and processes
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Troubleshoot and resolve data pipeline and performance issues
Required Skills & Qualifications
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5+ years of experience as a Data Engineer
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Strong hands-on experience with Snowflake (schemas, warehouses, performance tuning)
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Solid experience with dbt (models, tests, macros, documentation)
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Experience with Apache Airflow for workflow orchestration
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Advanced SQL skills (complex joins, window functions, CTEs, optimization)
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Experience working with cloud platforms (AWS / Azure / GCP – preferred)
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Understanding of data warehousing concepts and dimensional modeling
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Experience with version control systems like Git
Good to Have
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Experience with Python for data engineering tasks
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Knowledge of CI/CD pipelines for data workflows
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Familiarity with data quality frameworks and monitoring tools
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Exposure to analytics or AI/ML data use cases
What We Offer
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Opportunity to work on modern cloud data stack and AI-driven projects
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Collaborative and fast-paced work environment
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Competitive compensation and benefits
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Learning and growth opportunities with cutting-edge technologies
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