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

  • Design, develop, and optimize data models and pipelines using Snowflake

  • Build and maintain transformation workflows using DBT  following analytics engineering best practices

  • Orchestrate and schedule data pipelines using Apache Airflow

  • Write efficient, optimized SQL queries for data transformation, validation, and analysis

  • Ensure data quality, consistency, and reliability across data pipelines

  • Collaborate with data scientists, analysts, and product teams to understand data requirements

  • Implement performance tuning, cost optimization, and security best practices in Snowflake

  • Maintain documentation for data models, pipelines, and processes

  • Troubleshoot and resolve data pipeline and performance issues

Required Skills & Qualifications

  • 5+ years of experience as a Data Engineer

  • Strong hands-on experience with Snowflake (schemas, warehouses, performance tuning)

  • Solid experience with dbt (models, tests, macros, documentation)

  • Experience with Apache Airflow for workflow orchestration

  • Advanced SQL skills (complex joins, window functions, CTEs, optimization)

  • Experience working with cloud platforms (AWS / Azure / GCP – preferred)

  • Understanding of data warehousing concepts and dimensional modeling

  • Experience with version control systems like Git

Good to Have

  • Experience with Python for data engineering tasks

  • Knowledge of CI/CD pipelines for data workflows

  • Familiarity with data quality frameworks and monitoring tools

  • Exposure to analytics or AI/ML data use cases

What We Offer

  • Opportunity to work on modern cloud data stack and AI-driven projects

  • Collaborative and fast-paced work environment

  • Competitive compensation and benefits

  • Learning and growth opportunities with cutting-edge technologies

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