Role : Senior Data Engineer

Location : Remote / Bangalore

About the Role :

Ultrahuman is looking for a Senior Data Engineer to own and scale our data engineering function end to end. This role is ideal for someone who can architect data systems, build reliable pipelines, optimize warehouse performance, and enable analytics, automation, and ML use cases across the company.

We want a hands-on engineer with strong ownership, excellent problem-solving ability, and deep expertise in Python, SQL, Airflow, and modern cloud data platforms such as Snowflake / Redshift. You should also be comfortable using modern AI-assisted coding tools like Claude Code to improve speed and quality of execution.

What You'll Do :

- Own the data engineering stack end to end across ingestion, transformation, orchestration, quality, and delivery

- Design, build, and maintain scalable, reliable data pipelines for business, product, and analytics use cases

- Build and manage workflow orchestration using Airflow or similar tools

- Work extensively with Snowflake / Redshift to model, optimize, and serve high-quality data

- Integrate data from multiple systems including MySQL, MongoDB, APIs, S3, and time-series databases

- Build Python-based automations for reporting, operations, and internal business workflows

- Ensure strong standards for data quality, observability, performance, and reliability

- Partner with cross-functional teams to define metrics, improve data access, and support decision-making

- Enable downstream data science and ML use cases by building robust production-ready data foundations

What We're Looking For :

- 4-6 years of experience in data engineering / analytics engineering / data analytics

- Strong hands-on expertise in Python and SQL

- Proven experience building and maintaining production-grade data pipelines

- Strong experience with Airflow or equivalent orchestration platforms

- Hands-on experience with Snowflake and/or Redshift

- Strong understanding of data modeling, ETL/ELT, pipeline optimization, and warehouse performance

- Experience working with a variety of databases and storage systems such as MySQL, MongoDB, time-series databases, and S3

- Strong API integration experience for ingestion and automation workflows

- Familiarity with data science / ML workflows in production environments

- Strong ownership mindset and ability to work independently in a fast-paced environment

- Comfort with AI-native engineering workflows and tools such as Claude Code

- Good working knowledge of Excel / spreadsheets for validation and reporting

Core Skills :

- Python, SQL

- Airflow

- Data Engineering

- Snowflake

- Redshift

- Data Modeling, APIs

- Automation

- Data Science