Snowflake Data Engineer

Advance Career Solutions; India; On-site; INR 1,500,000 - 2,800,000; Full time

Job summary

Advance Career Solutions is seeking a senior data engineering architect to lead data warehousing and data architecture initiatives. You will implement DBT-based transformations, manage Kubernetes and Dockerized environments, and drive Airflow-driven CI/CD workflows while guiding AI agents for code migration to DBT.

Ideal candidates will have strong experience with Snowflake, data governance, and establishing publishing standards and operational procedures across teams.

Qualifications

• Experience with data warehousing and data architecture
• Proficient in DBT and modern data stack
• Strong knowledge of Kubernetes, Docker, and containerization
• Proficient in Python for data engineering tasks
• Experience with Apache Airflow and orchestration
• Hands-on experience with Snowflake as a data platform
• Familiarity with CI/CD and Git-based workflows
• Ability to provide architecture guidance for development environments
• Define CI/CD best practices and workflows with Airflow
• Guide AI agent design for code migration to DBT

Responsibilities

• Provide architecture guidance for the development environment, including installation, configuration, and administrative support.
• Define and implement CI/CD best practices, Git integration, and workflow orchestration using Airflow.
• Guide the design and implementation of AI agents that support code migration and transformation to DBT.
• Establish publishing standards, development best practices, governance guidelines, and operational procedures.

Skills

Data warehousing

Data architecture

DBT

Kubernetes

Python

Docker

Apache Airflow

Snowflake

CI/CD

Git workflows

Tools

Snowflake

Kubernetes

Python

Docker

Apache Airflow

DBT

Git

Job description

Role & responsibilities

Mandatory Skills

• Data Warehousing and Data Architecture
• DBT (Data Build Tool)
• Kubernetes
• Python
• Docker
• Apache Airflow
• Snowflake (must-have)
• CI/CD and Git-based development workflows
• Provide architecture guidance for the development environment, including installation, configuration, and administrative support.
• Define and implement CI/CD best practices, Git integration, and workflow orchestration using Airflow.
• Guide the design and implementation of AI agents that support code migration and transformation to DBT.

Establish publishing standards, development best practices, governance guidelines, and operational procedures.