Data Engineer
Altimate.ai4 months ago
Bengaluru, IndiaMid Level / Senior
Responsibilities
- Build performant, scalable data pipelines and infrastructure supporting 100K+ jobs and petabyte-scale data volumes.
- Design and implement cloud-native data infrastructure on AWS using Kubernetes and Airflow.
- Develop SQL intelligence capabilities for query optimization, dynamic pipeline generation, and column-level data lineage.
- Analyze SQL Abstract Syntax Trees and use SQL parsers to support adaptive data pipelines and performance improvements.
- Integrate advanced AI capabilities into data engineering workflows and contribute to open-source initiatives.
Requirements
- Require 2–4 years of data engineering experience building scalable data pipelines and systems.
- Require strong proficiency in Python and SQL.
- Require extensive experience with SQL query profiling, optimization, and performance tuning; Snowflake experience is preferred.
- Require deep understanding of SQL Abstract Syntax Trees and experience with SQL parsers such as sqlglot.
- Require experience building data pipelines with Airflow or dbt.
- Cloud platform experience, particularly AWS, is optional.
- Kubernetes familiarity for containerized deployments is optional.
Benefits
- Work on AI-powered data engineering products used by thousands of users worldwide.
- Contribute to open-source projects and gain visibility in the developer community.
- Receive exposure to generative AI applications and state-of-the-art data engineering technologies.
- Join a high-visibility startup role with opportunities for career growth.
Tech Stack
Categories
Data Engineering
About Altimate.ai
Altimate AI builds AI agents and an integrated platform for data and analytics engineers, embedded in tools like IDEs, Git, and Slack to automate tasks such as documentation and performance optimization. The company offers a SaaS platform (including DataPilot) alongside open-source components (Altimate Code) for enterprise use across cloud providers. Founded in 2022 and headquartered in Sunnyvale, California, it serves enterprise data teams, with Fortune 1000 firms among its paying customers.