Data Engineer

Altimate AI; Bengaluru; On-site; INR 1,200,000 - 1,700,000; Full time

Job summary

Altimate AI in Bengaluru is seeking a Data Engineer to build large-scale data pipelines and optimize SQL across cloud data platforms. You'll design backbone data systems and integrate AI-powered solutions into daily workflows.

The role emphasizes Python and SQL proficiency, experience with Snowflake, Airflow, and dbt, and collaboration with data science teams to push performance and reliability across enterprise datasets.

Qualifications

• 2-4 years of experience in data engineering with scalable pipelines.
• Proficient in Python and SQL.
• Experience with SQL profiling, optimization, and performance tuning (Snowflake preferred).
• Familiarity with SQL AST and parsers (e.g., sqlglot) for lineage and ETLs.
• Experience building data pipelines using Airflow or dbt.
• Cloud awareness, especially AWS (optional).
• Kubernetes familiarity for containerized deployments (optional).

Responsibilities

• Build large-scale data pipelines and optimize SQL for performance.
• Collaborate on designing cloud-native data infrastructure on AWS with Kubernetes and Airflow.
• Develop an intelligent SQL ecosystem with lineage tracking and dynamic pipelines.

Skills

Python

SQL

Python programming

SQL optimization

SQL AST

sqlglot

Data pipelines

Performance tuning

Tools

Snowflake

Airflow

dbt

AWS

Kubernetes

Job description

Mission

Altimate AI, founded in 2022 in San Francisco, is revolutionizing enterprise data operations through the power of AI. Our mission is to alleviate the burden on overworked and understaffed enterprise data teams by providing innovative AI‑driven solutions that automate and accelerate a wide range of data tasks. Our flagship product, DataPilot, offers advanced data automation capabilities, while our new DataMates technology brings the concept of agentic AI to data operations, acting as virtual teammates for data professionals. Our solutions seamlessly fit into existing tools like VSCode, Git, and Slack, performing tasks ranging from data documentation to performance optimization.

By leveraging a proprietary framework that combines multiple language models and a custom-built knowledge graph, we enable contextually aware AI agents that integrate seamlessly into existing workflows. Our solutions, including ambient AI for continuous monitoring and optimization, are designed to meet the growing demands of data operations, business intelligence, and analytics in an era of ever‑increasing data volumes. Used by thousands of users across the world, and backed by prominent investors, we’re positioned at the forefront of the AI‑powered data engineering revolution.

Who are we?

Altimate AI has a team of Silicon Valley veterans who previously created category‑defining data and AI products loved by thousands of companies worldwide. We have experienced the journey of a small startup to IPO very closely and are backing a new journey with prominent advisors and VC firms with multi‑billion dollar portfolios.

Team

We are a high‑performing team actively building AI‑powered data solutions. Our culture emphasizes innovation, collaboration, and a focus on solving real‑world data challenges.

What are we looking for?

We’re searching for a Data Engineer who is passionate about innovation and problem‑solving beyond traditional data engineering. This role involves building large‑scale data pipelines, optimizing SQL, and managing cloud infrastructure to design and build the backbone of our AI‑powered data solutions. The ideal candidate will play a crucial role in enhancing our AI capabilities, developing high‑performance data systems, and integrating advanced AI into thousands of data teams’ daily workflows.

Qualifications

• 2‑4 years of experience in data engineering, with a focus on building 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 Tree (AST) and experience working with SQL parsers (e.g., sqlglot) for generating column‑level lineage and dynamic ETLs
• Experience in building data pipelines using Airflow or dbt
• Solid understanding of cloud platforms, particularly AWS (optional)
• Familiarity with Kubernetes (K8s) for containerized deployments (optional)

Projects You’ll Work On

• Building PB‑Scale Data Pipelines: Build highly performant large‑scale data infrastructure that can scale to 100K+ jobs and handle PB‑scale data per day.
• Cloud‑Native Data Infrastructure: Design and implement robust, scalable data infrastructure on AWS, utilizing Kubernetes and Airflow for efficient resource management and deployment.
• Intelligent SQL Ecosystem: Design and develop a comprehensive SQL intelligence system encompassing query optimization, dynamic pipeline generation, and data lineage tracking. Leverage expertise in SQL query profiling, AST analysis, and parsing to create a sophisticated engine focused on query performance improvements, building adaptive data pipelines, and implementing granular column‑level lineage.

Impact

• Innovation at the Forefront: Push the boundaries of data engineering by combining traditional techniques with cutting‑edge AI technologies.
• High Visibility: Directly affect the productivity and capabilities of global data teams, as your contributions will be crucial to the daily operations of thousands of users spread across 100s of countries.
• Open Source Contribution: Contribute to our open‑source initiatives, gaining recognition in the tech community.
• Career Growth: Launch into the rapidly advancing field of AI‑powered data engineering, offering exposure to state‑of‑the‑art technologies and generative AI applications.

How To Apply

If this sounds like the perfect role for you, we can’t wait to meet you! Apply now and let’s build something amazing together.