Senior Data Engineer

PROJECT OVERVIEW

Our client is an established product company in the sports-tech industry, delivering a mobile application focused on skill assessment and talent evaluation. The platform enables users to record short performance exercises via smartphone, which are then processed using AI-based computer vision to generate objective performance metrics and rankings. The solution connects end users with organizations seeking data-driven insights for talent identification.

IN THIS ROLE, YOU WILL

Define and implement core data models (users, events, performance)

Design and operate robust, production-grade data pipelines

Establish a single source of truth for key business and product metrics

Structure data for business and product analysis (retention, funnels, activation)

Build and deploy data services and jobs on AWS (e.g. S3, Lambda, ECS/EKS, Glue, Athena, Redshift, etc.)

Make pragmatic decisions on how data is stored, processed, and accessed

Evaluate and introduce tools (e.g. BigQuery, Snowflake, Databricks) where they add clear value

Ensure the architecture scales with product, AI, and data growth without overengineering

Optimize pipelines for scalability, cost efficiency, and performance.

Write clean, maintainable, and well-structured Python code following software engineering best practices.

Work closely with Product, Engineering, AI, and Business teams

IF YOU ARE

5-7+ years of professional experience in data-heavy roles (data engineering, ML engineering, or similar)

Strong programming skills in Python (clean architecture, testing, modular design not just scripts)

Solid SQL skills and experience designing analytical schemas

Hands-on experience building production data pipelines and services

Strong experience with AWS and cloud-native data architectures

Familiarity with infrastructure concepts (CI/CD, monitoring, logging, deployments)

Comfortable working with imperfect, real-world data and evolving requirements

Experience working in fast-paced or early-stage environments

You understand that data work is software engineering

Excellent communication skills in English, with the ability to effectively collaborate with cross-functional and international teams

Passionate about sports, performance analytics, and leveraging data to make a real-world impact

AS AN OPINOV8R, YOU WILL HAVE

Digital-First Approach:Great talent knows no borders! You can work from wherever you are — we hire and collaborate with professionals worldwide.

Remote Work Model:Balance your professional and personal life with our flexible working conditions, empowering you to deliver your best from anywhere.

Exciting Projects

Dive into impactful projects across industries that challenge and spark creativity.

Boost Your Expertise

Grow your career with continuous learning, development opportunities, and hands-on experience.

Join the Best Team Ever

Collaborate with our diverse and cross-cultural team of passionate technologists and creative thinkers.

HOW’S THE HIRING PROCESS GOING

We strive to make our hiring process smooth and transparent to find the perfect match for both sides. Steps may differ depending on the role, but here’s what to expect

Initial Interview

If your background fits the role, we’ll invite you for an interview with a Talent Acquisition Specialist.

Technical Interview

Depending on the position, you may complete a technical assessment or test task.

Client Interview.

Final Decision

After all steps, we’ll get back to you with the result and next steps.

Originally posted on Himalayas