Senior Data Engineer (Redshift)

Posted 5 Days Ago
Be an Early Applicant
6 Locations
Remote
Senior level
Healthtech • Information Technology • Software
The Role
Build and optimize scalable ETL/ELT pipelines, design data models, ensure data quality and security, improve pipeline/query performance, implement CI/CD for data workflows, and collaborate with product and analytics teams to enable data-driven decisions.
Summary Generated by Built In

🚀 Who Are We?

Welcome to Welltech—where health meets innovation! 🌍 As a global leader in Health & Fitness industry, we’ve crossed over 220 million installs with life-changing apps, all designed to boost well-being for millions. Our mission? To improve the health of millions of people through intuitive nutrition trackers, powerful fitness solutions, and personalized wellness journeys—all powered by a diverse team of over 700+ passionate professionals with a 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.

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.

Challenges You’ll Meet:

  • 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.

Required skills:

  • 4+ years of experience in data engineering or backend development, with a strong focus on building production-grade data pipelines.

  • 2-3+ years of experience working with AWS services (Administration of Redshift is a must),

  • Solid experience working with AWS services (Spectrum, S3, RDS, Glue, Lambda, Kinesis, SQS).

  • Proficient in Python and SQL for data transformation and automation.

  • Experience with dbt for data modeling and transformation.

  • Good understanding of streaming architectures and micro-batching for real-time data needs.

  • Experience with CI/CD pipelines for data workflows (preferably GitLab CI).

  • Familiarity with event schema validation tools/ solutions (Snowplow, Schema Registry).

  • Excellent communication and collaboration skills.
    Strong problem-solving skills—able to dig into data issues, propose solutions, and deliver clean, reliable outcomes.

  • A growth mindset—enthusiastic about learning new tools, sharing knowledge, and improving team practices.

Tech Stack You’ll Work With:

  • Cloud: AWS (Redshift, Spectrum, S3, RDS, Lambda, Kinesis, SQS, Glue, MWAA)

  • Languages: Python, SQL

  • Orchestration: Airflow (MWAA)

  • Modeling: dbt

  • CI/CD: GitLab CI (including GitLab administration)

  • Monitoring: Datadog, Grafana, Graylog

  • Event validation process: Iglu schema registry

  • APIs & Integrations: REST, OAuth, webhook ingestion

  • Infra-as-code (optional): Terraform

Bonus Points / Nice to Have:

  • Experience with additional AWS services: EMR, EKS, Athena, EC2.

  • Hands-on knowledge of alternative data warehouses like Snowflake or others.

  • Experience with PySpark for big data processing.

  • Familiarity with event data collection tools (Snowplow, Rudderstack, etc.).

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

Candidate journey: ⭕️ Recruiter call ➔ ⭕️ Technical call with the hiring manager ➔ ⭕️ Meet the future stakeholders

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!


Check out some of our products

Muscle Booster — https://musclebooster.fitness/

Yoga-Go — https://yoga-go.io/

WalkFit -http://walkfit.pro

Skills Required

  • 4+ years of experience in data engineering or backend development
  • 2-3+ years working with AWS services; Administration of Redshift is a must
  • Experience with AWS services: Spectrum, S3, RDS, Glue, Lambda, Kinesis, SQS
  • Proficient in Python for data transformation and automation
  • Proficient in SQL for queries and transformations
  • Experience with dbt for data modeling and transformations
  • Good understanding of streaming architectures and micro-batching
  • Experience with CI/CD pipelines for data workflows (GitLab CI preferred)
  • Experience with Airflow (MWAA) orchestration
  • Familiarity with event schema validation tools/solutions (Snowplow, Schema Registry / Iglu)
  • Familiarity with monitoring tools (Datadog, Grafana, Graylog)
  • Excellent communication and collaboration skills
  • Growth mindset and willingness to build PoCs and improve team practices
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The Company
HQ: Limassol
726 Employees
Year Founded: 2017

What We Do

Welcome to Welltech – a global IT powerhouse specializing in cutting-edge Health & Fitness mobile applications. With an impressive 200M+ installs, and a suite of 5 revolutionary apps, we have positively impacted millions of users, fostering healthy habits and overall well-being. With a solid six-year presence in the international market, Welltech boasts a dynamic team of over 600 passionate professionals across the globe. Headquarted in Cyprus, our reach extends across us, Ukraine, Poland, the UK, and Spain, bringing together diverse talents and perspectives. From intuitive nutrition trackers to innovative fitness solutions, we're empowering individuals to embark on a transformative journey toward optimal health and happiness. But we don't stop there. At Welltech, we're not just breaking boundaries; we're reshaping the future of nutrition, wellness, mindfulness, and fitness. The exciting part: Our mission goes beyond mere app development. We're building a holistic ecosystem of products designed to seamlessly integrate well-being into every facet of life. Join us at Welltech and be part of a revolution that's redefining what it means to live well in the digital age.

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