Data Engineer

Details

• A highly collaborative team player who enjoys solving complex data problems • Passionate about building scalable and reliable systems
• Detail-oriented with a strong focus on data quality and performance • Comfortable working in fast-paced, agile environments
• Strong communicator who can work cross-functionally with technical and non technical stakeholders
• Curious and proactive with a continuous learning mindset
• Ownership-driven and accountable for end-to-end delivery
• Design, build, and maintain scalable ETL/ELT pipelines using Python for batch and streaming workloads
• Develop and manage production-grade data services exposed through REST and/or gRPC APIs
• Design and optimize data models across OLTP and OLAP systems
• Implement and maintain Change Data Capture (CDC) and time-travel-enabled data architectures
• Manage and optimize cloud-based data infrastructure across Azure, AWS, or GCP environments
• Own CI/CD workflows for data pipelines, including automated testing and deployments
• Write unit and integration tests to ensure data quality, pipeline stability, and reliability
• Collaborate with Product Managers and Tech Leads to scope, estimate, and deliver engineering work
• Participate in code reviews and contribute to engineering best practices and documentation
• Monitor and improve system observability, performance, and operational efficiency
• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
• 2+ years of experience in Python and modern data engineering practices
• Strong experience building production ETL/ELT pipelines for batch and streaming systems
• Hands-on experience with DataFrame-based processing tools such as pandas, Polars, or Arrow
• Understanding of OLTP vs OLAP systems and modern data modeling principles
• Experience with CDC frameworks and time-travel-enabled data systems such as Delta Lake or Apache Iceberg
• Experience building and managing REST and/or gRPC APIs
• Familiarity with CI/CD tools such as GitHub Actions, AWS CodePipeline, or similar • Experience working with cloud platforms such as Azure, AWS, or GCP • Knowledge of Git, Agile methodologies, and collaborative engineering workflows
• Experience with tools such as Apache Airflow, dbt, Kafka, Databricks, or equivalent is a plus
• 24 PTOs in a calendar year
• Company-paid Health Insurance
• Company-paid Short Term and Long Term Disability coverage
• Company-paid Accidental Insurance
• Company-paid Learning & Development (L&D) programmes
• Flexible work environment – work from home, office, or hybrid
• Collaborative and innovation-driven work culture
• Opportunity to work on cutting-edge AI-powered ecommerce technology