# Snowflake Data Engineer

> Weekday AI · Bengaluru, India · Full-time · Posted 2026-10-09

**Workplace:** on_site

**Department:** Weekday's Client via platform

## Description

**This role is for one of Weekday’s clients**

  
Min Experience: 5+ years  
Location: Bengaluru, Hyderabad, Telangana, India, Pune, Maharashtra, India  
JobType: full-time

We are looking for an experienced **Snowflake Data Engineer** with strong expertise in Snowflake, dbt, and Python to design, develop, and maintain scalable, reliable, and high-performance data solutions. The ideal candidate will have hands-on experience building modern data pipelines, transforming complex datasets, and developing efficient data models to support business intelligence, analytics, and data-driven decision-making.

You will collaborate with data architects, analytics engineers, business stakeholders, and other technical teams to build robust data platforms and ensure data quality, performance, and availability across the organization.

## Requirements

Key Responsibilities

### 1\. Data Engineering and Pipeline Development

-   Design, develop, and maintain scalable data pipelines using Snowflake, Python, and dbt.
-   Build and optimize ETL/ELT workflows to ingest, transform, and process structured and semi-structured data from multiple sources.
-   Develop efficient data models and transformation logic to support reporting, analytics, and downstream applications.
-   Implement incremental data loading, change data capture, and automated data processing wherever applicable.
-   Ensure data pipelines are reliable, maintainable, and aligned with business requirements.

### 2\. Snowflake Development and Optimization

-   Develop and manage Snowflake databases, schemas, tables, views, and other database objects.
-   Optimize Snowflake queries, warehouse configurations, and data processing workflows for performance and cost efficiency.
-   Work with Snowflake features such as streams, tasks, stages, and Snowpipe to support data ingestion and automation.
-   Implement appropriate data access controls, security practices, and governance standards.
-   Troubleshoot data processing issues and resolve performance bottlenecks.

### 3\. dbt Development and Data Transformation

-   Develop, maintain, and optimize dbt models to implement modular, reusable, and scalable data transformations.
-   Apply best practices for data modeling, model dependencies, incremental processing, and project organization.
-   Implement dbt tests, documentation, and data quality checks to ensure accuracy and consistency.
-   Manage model versioning, deployment workflows, and dependencies across development and production environments.

### 4\. Python-Based Automation

-   Develop Python scripts and utilities to automate data ingestion, validation, transformation, and monitoring.
-   Build reusable components to improve data processing efficiency and reduce manual intervention.
-   Integrate Python applications with Snowflake and other data platforms or APIs.

### 5\. Collaboration and Continuous Improvement

-   Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions.
-   Participate in code reviews, technical design discussions, testing, and production deployments.
-   Monitor pipeline performance, troubleshoot production issues, and continuously improve data engineering practices.

Must-Have Skills

-   Strong hands-on experience with **Snowflake** data warehousing and cloud data engineering.
-   Practical experience with **dbt** for data transformation, modeling, testing, and documentation.
-   Proficiency in **Python** for data processing, scripting, and workflow automation.
-   Strong understanding of ETL/ELT concepts, data warehousing principles, and scalable data pipeline architecture.
-   Experience with performance optimization, data quality management, and production troubleshooting.

Good-to-Have Skills

-   Strong SQL skills, including complex queries, joins, CTEs, and query optimization.
-   Experience with PySpark and distributed data processing.
-   Familiarity with cloud platforms such as AWS, Azure, or GCP.
-   Knowledge of orchestration tools, CI/CD pipelines, Git, and data governance practices.

Preferred Candidate Profile

-   5–10 years of relevant experience in data engineering, with substantial hands-on exposure to Snowflake, dbt, and Python.
-   Strong analytical and problem-solving abilities.
-   Excellent communication and collaboration skills.
-   Ability to work independently, manage priorities, and deliver high-quality data solutions in a fast-paced environment.

## Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/D9396F4CEE/apply)

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