Senior Data Engineer, Redshift

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Welltech

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2017

🧘 Wellness

👥 B2C

☁️ SaaS

💰 Series A on 2017-12

Wellness • B2C • SaaS

Welltech is a data-driven company specializing in health and wellness applications. With over 200 million installs, Welltech focuses on developing products geared towards fitness, weight loss, and healthy living, such as the popular apps Muscle Booster and Yoga-Go. The company's offerings are designed to improve the health of millions of people globally and include fitness guides, diet plans, and yoga routines. Welltech emphasizes constant growth and learning, supported by a team of over 700 professionals who work to create reliable, expert-endorsed content. Their products aim to offer comprehensive solutions for fitness and weight management, with a solid foundation in data and analytics.

📋 Description

• 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

• 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.

🏖️ Benefits

• 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!