Senior Data Engineer (Redshift)

**Who Are We?** Welltech is a global wellness technology company with Ukrainian roots. Our mission is **to build and scale wellness apps globally through state-of-the-art, tech-driven performance marketing.** We are one of the most established players in the wellness app space, and we are accelerating. Over **25.5 million** people across the world use our apps **Muscle Booster, Yoga-Go, and WalkFit** to build healthier habits, move more, and feel better every day. Every subscription represents a real person making a real change in their life, and we take that seriously. With **500+ people** across hubs in **Cyprus, Ukraine, Poland, Spain, and the UK**, we combine the scale of a market leader and the drive of a team that's just getting started. **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 skillsable to dig into data issues, propose solutions, and deliver clean, reliable outcomes. * A growth mindsetenthusiastic 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 **Check out some of our products** Muscle Booster [https://musclebooster.fitness/](https://musclebooster.fitness/) Yoga-Go [https://yoga-go.io/](https://yoga-go.io/) WalkFit -[http://walkfit.pro](http://walkfit.pro)