Senior Data Engineer @ Welltech

Who Are We?

Welcome to  Welltech —where health meets innovation! 🌍 As a global leader in  Health & Fitness industry , we’ve crossed over  200 million installs  with three life-changing apps, all designed to boost well-being for millions. Our mission? To transform lives through intuitive nutrition trackers, powerful fitness solutions, and personalized wellness journeys—all powered by a diverse team of over  700 passionate professionals with presence across 5 hubs .

Why Welltech? Imagine joining a team where your impact on global health and wellness is felt daily. At Welltech, we strive to be proactive wellness partners for our users, while continually evolving ourselves.

Candidate journey :  ⭕️ Recruiter call ➔ ⭕️ Technical call ➔ ⭕️ Meet the Leadership team

Why You’ll Love Being Part of Welltech :

• Grow Together : Join a culture that champions both personal and professional growth. Here, you’ll thrive as we learn, evolve, and succeed together.
• Lead by Example : No matter your role, your leadership matters. Every team member is empowered to inspire and make an impact.
• Results-Driven : We’re all about achieving meaningful outcomes. It’s not just about the effort, but the difference we make every day.
• We Are Well-Makers : Be part of a movement that’s creating a healthier, happier world. Together, we make well-being a reality!

What We're Looking For

As a  Senior Data Engineer , you will play a crucial role in building and maintaining the foundation of our data ecosystem. You’ll work alongside data engineers, analysts, and product teams to create robust, scalable, and high-performance data pipelines and models. Your work will directly impact how we deliver insights, power product features, and enable data-driven decision-making across the company.

This role is perfect for someone who combines deep technical skills with a proactive mindset and thrives on solving complex data challenges in a collaborative environment.

You Should Have :

Nice to Have :

Tech Stack You’ll Work With :

Bonus Points /

Interest in or exposure to  customer data platforms (CDPs) and real-time data workflows.

Who Are We?

Welcome to  Welltech —where health meets innovation! 🌍 As a global leader in  Health & Fitness industry , we’ve crossed over  200 million installs  with three life-changing apps, all designed to boost well-being for millions. Our mission? To transform lives through intuitive nutrition trackers, powerful fitness solutions, and personalized wellness journeys—all powered by a diverse team of over  700 passionate professionals with presence across 5 hubs .

Why Welltech? Imagine joining a team where your impact on global health and wellness is felt daily. At Welltech, we strive to be proactive wellness partners for our users, while continually evolving ourselves.

Candidate journey :  ⭕️ Recruiter call ➔ ⭕️ Technical call ➔ ⭕️ Meet the Leadership team

Why You’ll Love Being Part of Welltech :

Pipeline Development and Optimization :  Build and maintain reliable, scalable ETL / ELT pipelines using modern tools and best practices, ensuring efficient data flow for analytics and insights. , Data Modeling and Transformation :  Design and implement effective data models that support business needs, enabling high-quality reporting and downstream analytics. , Collaboration Across Teams :  Work closely with data analysts, product managers, and other engineers to understand data requirements and deliver solutions that meet the needs of the business. , Ensuring Data Quality :  Develop and apply data quality checks, validation frameworks, and monitoring to ensure the consistency, accuracy, and reliability of data. , Performance and Efficiency :  Identify and address performance issues in pipelines, queries, and data storage. Suggest and implement optimizations that enhance speed and reliability. , Security and Compliance :  Follow data security best practices and ensure pipelines are built to meet data privacy and compliance standards. , Innovation and Continuous Improvement :  Test new tools and approaches by building Proof of Concepts (PoCs) and conducting performance benchmarks to find the best solutions. , Automation and CI / CD Practices :  Contribute to the development of robust CI / CD pipelines (GitLab CI or similar) for data workflows, supporting automated testing and deployment. ] Requirements : Boost, Data pipelines, ETL, Data modeling, Storage, Security, CI / CD Pipelines, Automated testing, AWS, Redshift, AWS S3, Amazon RDS, Glue, AWS Lambda, Kinesis, AWS Redshift, Amazon SQS, MWAA, Python, SQL, Airflow, dbt, GitLab, Datadog, Grafana, Graylog, REST API, OAuth, Terraform, Amazon EMR, Amazon EKS, Athena, AWS EC2, Data warehouses, Data warehouse, Snowflake, PySpark, Big data Additionally : Sport subscription, Private healthcare, International projects, Training budget, Lunch card.