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Lumiq.Ai - Snowflake Data Engineer

NextHire Consulting

Lumiq.Ai - Snowflake Data Engineer

Reposted 21 Days Ago

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In-Office

Pune, Maharashtra, IND

Mid level

In-Office

Pune, Maharashtra, IND

Mid level

Design, build, and optimize scalable Snowflake data models and pipelines. Develop dbt transformations, orchestrate workflows with Airflow, write advanced SQL, ensure data quality and performance, collaborate with analytics teams, and maintain documentation.

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Location: Noida
Company: Lumiq.ai
Experience: 3–6Years (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

3 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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