Senior Data Engineer

India·Bengalurusenior

Data EngineerData

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Quick Summary

Overview

About Ultrahuman: Ultrahuman is the world’s most advanced metabolic fitness platform. We are helping people hit their fitness goals, perform better at sports and optimise their metabolic health by providing actionable insights for all biomarkers in our arsenal.

Technical Tools

airflowexcelmongodbmysqlpythonsnowflakesqldata-analysisetlmachine-learning

About Ultrahuman:

Ultrahuman is the world’s most advanced metabolic fitness platform.

We are helping people hit their fitness goals, perform better at sports and optimise their metabolic health by providing actionable insights for all biomarkers in our arsenal. We are snowballing and are backed by investors such as Alpha Wave Incubation, Steadview Capital, Blume Ventures, Nexus Venture Partners, and renowned angels.

We are a small team of relentlessly optimistic people who love to think deeply about problems, push boundaries and have a lot of fun while at it.

About the Role:

We are seeking a highly motivated and experienced Senior Data Engineer to join our dynamic team. The ideal candidate will demonstrate strong ownership, a knack for complex problem-solving, and a strong background in data analytics and engineering.

Prerequisites:

Advanced proficiency in SQL and Python is required, with a demonstrated understanding of their applications in data engineering, analytics, and data science.
Designed, implemented, and optimized robust data pipelines using Python-based frameworks, ideally with experience in Airflow or similar platforms.
Demonstrated experience in setting up complex automations for diverse business use cases using Python.
Worked with various database types including MySQL, Snowflake, MongoDB, Timeseries databases, S3 etc ensuring efficient data storage and retrieval.
Utilized different APIs for data manipulation and project-specific needs, demonstrating strong integration skills.
Proven experience with data science and implementing machine learning models to solve real-world problems.
Minimum of 5 years of experience in data analytics and data engineering, showing a track record of progressive responsibility and success.
Strong skills in Excel for data analysis, manipulation, and presentation.
Hard skills expected : Python, SQL, Data Engineering, Data Science