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Senior Data Engineer (Redshift) at Welltech. Location Information: Anywhere in the World. . . Headquarters:. Cyprus . URL:. . http://welltech.com. . . 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 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. Check out some of our products. Muscle Booster —. https://musclebooster.fitness/. . Yoga-Go —. https://yoga-go.io/. . WalkFit -. http://walkfit.pro. . To apply:. . https://weworkremotely.com/remote-jobs/welltech-senior-data-engineer-redshift.