Senior Data Engineer, Redshift

This is a fully remote position, open to applicants in Estonia.

📋 Description

• Pipeline Development and Optimization: Construct and maintain dependable, scalable ETL/ELT pipelines utilizing contemporary tools and best practices to ensure effective data flow for analytics and insights.

• Data Modeling and Transformation: Create and execute efficient data models that cater to business requirements, facilitating high-quality reporting and subsequent analytics.

• Collaboration Across Teams: Partner closely with data analysts, product managers, and fellow engineers to grasp data requirements and provide solutions that align with business objectives.

• Ensuring Data Quality: Design and implement data quality checks, validation frameworks, and monitoring processes to guarantee the consistency, accuracy, and reliability of data.

• Performance and Efficiency: Detect and resolve performance challenges in pipelines, queries, and data storage. Recommend and execute optimizations that improve speed and reliability.

• Security and Compliance: Adhere to data security best practices and ensure that pipelines comply with data privacy and regulatory standards.

• Innovation and Continuous Improvement: Experiment with new tools and methodologies by developing Proof of Concepts (PoCs) and conducting performance benchmarks to identify optimal solutions.

• Automation and CI/CD Practices: Assist in the creation of robust CI/CD pipelines (GitLab CI or similar) for data workflows, promoting automated testing and deployment.

⛳️ Requirements

• 4+ years of experience in data engineering or backend development, emphasizing the construction of production-grade data pipelines.

• 2-3+ years of experience utilizing AWS services (Administration of Redshift is essential).

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

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

• Experience with dbt for data modeling and transformation processes.

• Solid understanding of streaming architectures and micro-batching to meet real-time data requirements.

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

• Knowledge of event schema validation tools/solutions (Snowplow, Schema Registry).

• Excellent communication and collaboration abilities. Strong problem-solving skills—capable of investigating data issues, proposing solutions, and delivering clean, reliable results.

• A growth mindset—passionate about learning new tools, sharing knowledge, and enhancing 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!