Senior Data Engineer (AWS)

TL;DR

Senior Data Engineer (AWS/Python): Building and maintaining scalable ETL/ELT pipelines and data models for a global health and fitness platform with an accent on AWS Redshift administration and high-performance data flow. Focus on optimizing data quality, implementing CI/CD for data workflows, and designing robust streaming architectures.

Location: Remote (Must be based in Estonia, Bulgaria, Hungary, Latvia, Lithuania, or Romania)

Company

A global leader in the Health & Fitness industry with over 220 million app installs designed to boost well-being through intuitive nutrition and fitness solutions.

What you will do

• Build and maintain reliable, scalable ETL/ELT pipelines using modern tools to ensure efficient data flow for analytics.
• Design and implement effective data models that support business reporting and downstream analytics.
• Collaborate with data analysts, product managers, and engineers to deliver solutions meeting business requirements.
• Develop data quality checks, validation frameworks, and monitoring to ensure data consistency and reliability.
• Optimize pipeline performance, queries, and data storage to enhance speed and reliability.
• Contribute to robust CI/CD pipelines using GitLab CI for automated testing and deployment of data workflows.

Requirements

• 4+ years of experience in data engineering or backend development building production-grade pipelines.
• 2-3+ years of experience with AWS services, with mandatory Redshift administration skills.
• Proficiency in Python and SQL for data transformation and automation.
• Experience with dbt for data modeling and transformation.
• Strong understanding of streaming architectures and micro-batching for real-time data needs.
• Must be based in Estonia, Bulgaria, Hungary, Latvia, Lithuania, or Romania.

Nice to have

• Experience with additional AWS services such as EMR, EKS, Athena, or EC2.
• Hands-on knowledge of alternative data warehouses like Snowflake.
• Experience with PySpark for big data processing.
• Familiarity with event data collection tools such as Snowplow or Rudderstack.
• Interest in customer data platforms (CDPs) and real-time data workflows.

Culture & Benefits

• Culture that champions both personal and professional growth and continuous evolution.
• Empowered environment where every team member is encouraged to lead and make an impact.
• Results-driven approach focused on achieving meaningful outcomes for global health.
• Opportunity to work with a diverse global team of 700+ professionals.

Hiring process

• Recruiter introductory call.
• Technical call with the hiring manager.
• Meeting with future stakeholders.