Data Engineer II
You will build scalable data pipelines and workflows, ingest and transform high-volume data from MySQL and Kafka sources, maintain Redshift data models, optimize SQL, support migration to AWS, and embed quality, reliability, observability, and security across a mission-critical payments data platform.
Responsibilities
- Build and optimize scalable data pipelines and workflows
- Ingest, transform, and deliver high-volume data from MySQL databases and real-time Kafka streams
- Design and maintain performant Redshift data models
- Optimize SQL queries for analytics and reporting workloads
- Contribute to cloud migration and evolve the data architecture
- Translate business requirements into robust technical solutions
- Embed data quality, reliability, observability, and security across the data platform
- Support and enhance data solutions in a mission-critical payments environment
- Continuously learn and share knowledge
- Raise standards across data governance, quality, and security practices
Requirements
- 2–3 years of professional experience in Data Engineering or a related role
- Strong SQL expertise, including query optimization, complex transformations, and data modelling
- Solid Python skills for data engineering and pipeline development
- Hands-on experience with AWS Redshift, Lambda, Glue, and S3
- Experience with Airflow for orchestration
- Familiarity with dbt for transformation and modelling
- Collaborative mindset
- Strong problem-solving skills
- Critical thinking
- Willingness to take ownership and initiative
- Experience contributing to large-scale cloud migration initiatives is a plus
- Knowledge of real-time data streaming using Kafka is a plus
- Exposure to CI/CD pipelines and infrastructure-as-code is a plus
- Interest in AI/ML use cases within modern data ecosystems is a plus
- Understanding of payments or fintech data challenges is a plus
Benefits
- Performance bonuses
- Sales commissions
- Equity for specific roles
- Recognition programs
- Medical coverage
- 24/7 employee assistance program
- Generous vacation programs
- Year-end shutdown
- Hybrid working environment with three days per week in the office
- Role-specific training
- Internal workshops
- Learning stipend
- Company-wide social events
- Team bonding activities
- Happy hours
- Team offsites