# Senior Data Engineer

**Company:** [Snowflake](https://hotfix.jobs/companies/snowflake)
**Location:** Pune, India
**Role:** Data Engineering
**Experience:** 5+ years
**Skills:** SQL, Python, Snowflake, Snowpark, Dynamic Tables, Snowflake Cortex, dbt, Apache Airflow, Dimensional Modeling, Data Vault, Semantic Layer, MLflow, Kafka, Snowpipe Streaming, Infrastructure As Code
**Posted:** 2026-08-26

> Build and operate scalable enterprise data pipelines, models, and platform infrastructure across the full data lifecycle. The role requires 5+ years of experience, strong SQL and Python, and deep expertise in Snowflake, dbt, and Airflow.

## Job Description

## Responsibilities
- Design, build, and launch production-ready data models and pipelines across ingestion, transformation, modeling, and consumption.
- Own end-to-end system design decisions, evaluate tradeoffs, and document architectural choices.
- Implement data governance frameworks and maintain rigorous data quality standards.
- Develop and optimize ingestion processes from diverse enterprise sources.
- Build data platform tools aligned with the product roadmap and provide internal customer feedback.
- Apply Agile practices to data product development, including sprint planning, reviews, and retrospectives.
- Define testing strategies, identify risks, and drive resolution of technical issues.
- Translate ambiguous stakeholder requirements into well-scoped technical work.
- Adapt solutions to changing business requirements while preserving technical integrity.

## Requirements
- Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent practical experience.
- 5–8 years of experience building and operating production data pipelines, data models, and platform infrastructure at scale.
- Expert SQL and strong Python skills, including performance tuning, query optimization, and schema design.
- Hands-on Snowflake experience, including Snowpark, dynamic tables, data sharing, Snowflake Cortex, and cost optimization.
- Advanced dbt modeling, testing, macro authoring, and project governance on Snowflake.
- Strong Apache Airflow experience, including DAG design, operator customization, dependency management, and operations.
- Understanding of dimensional modeling, data vault, and semantic layer design.
- Strong system design, architectural reasoning, communication, collaboration, ownership, and ambiguity-management skills.

## Preferred Qualifications
- Experience designing data pipelines and feature-engineering workflows for ML training and inference.
- Exposure to MLflow, feature stores, vector databases, or LLM serving infrastructure.
- Experience with Snowflake Cortex AI functions or similar LLM API integrations.
- Cloud infrastructure experience with AWS, Azure, or Google Cloud, including infrastructure as code and cost management.
- Knowledge of Kafka, Snowpipe Streaming, and real-time data architectures.
- Familiarity with data contracts and schema registry tooling.

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