Senior Data Engineer, Redshift

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

📋 Description

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

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

• Collaboration Across Teams: Partner closely with data analysts, product managers, and other engineers to comprehend data requirements and deliver solutions that align with business needs.

• Ensuring Data Quality: Establish 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 issues in pipelines, queries, and data storage. Propose and implement optimizations that improve speed and reliability.

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

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

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

⛳️ Requirements

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

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

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

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

• Experience utilizing dbt for data modeling and transformation.

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

• 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 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 promotes both personal and professional development. Here, you’ll flourish as we learn, evolve, and succeed together.

• Lead by Example: Regardless of your role, your leadership is significant. Every team member is encouraged to inspire and make a difference.

• Results-Driven: We focus on achieving meaningful outcomes. It’s not just about the effort, but the impact we create every day.

• We Are Well-Makers: Be part of a movement that’s fostering a healthier, happier world. Together, we make well-being a reality!