# Data Engineer

**Company:** [Altimate](https://hotfix.jobs/companies/altimate)
**Location:** Bengaluru, India
**Role:** Data Engineering
**Experience:** 3+ years
**Skills:** Python, SQL, Snowflake, Sql Ast, Sqlglot, Airflow, dbt, AWS, Kubernetes, Sql Optimization, Data Pipelines, Data Lineage
**Posted:** 2026-07-09

> Build scalable data pipelines, cloud-native infrastructure, and SQL intelligence systems for AI-powered data operations. The role requires 3–5 years of data engineering experience, strong Python and SQL skills, and expertise in query optimization, SQL parsing, and data pipelines.

## Job Description

## Responsibilities
- Build highly performant, large-scale data infrastructure capable of supporting 100K+ jobs and petabyte-scale data volumes per day.
- Design and implement robust, scalable cloud-native data infrastructure on AWS.
- Use Kubernetes and Airflow for resource management and deployment.
- Develop a comprehensive SQL intelligence system for query optimization, dynamic pipeline generation, and data lineage tracking.
- Apply SQL query profiling, AST analysis, and parsing to improve query performance, build adaptive data pipelines, and implement granular column-level lineage.
- Integrate advanced AI capabilities into data systems and workflows.
- Contribute to open-source initiatives.

## Requirements
- 3–5 years of experience in data engineering, focused on scalable data pipelines and systems.
- Strong proficiency in Python and SQL.
- Extensive experience with SQL query profiling, optimization, and performance tuning, preferably with Snowflake.
- Deep understanding of SQL Abstract Syntax Trees (ASTs) and experience with SQL parsers such as sqlglot.
- Experience generating column-level lineage and dynamic ETLs.
- Experience building data pipelines with Airflow or dbt.

## Nice-to-haves
- Understanding of cloud platforms, particularly AWS.
- Familiarity with Kubernetes for containerized deployments.

## Compensation and Benefits
- Opportunity to work on AI-powered data engineering and generative AI applications.
- High-visibility work supporting data teams worldwide.
- Open-source contribution opportunities.
- Career growth in AI-powered data engineering.

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**Canonical:** https://hotfix.jobs/jobs/6003659d-48f3-4b54-a268-0b458e1a9b91