Data Engineer II

📋 Description

• Build and optimize scalable, maintainable, high-performance data pipelines and workflows.
• Ingest, transform, and deliver high-volume data from MySQL and real-time Kafka streams.
• Design and maintain performant data models in Redshift; optimize SQL queries for analytics.
• Contribute to our cloud migration journey and evolve the data architecture.
• Collaborate with cross-functional, globally distributed teams to translate requirements into robust solutions.
• Embed data quality, reliability, observability, and security across the platform.

🎯 Requirements

• 2–3 years of professional experience in Data Engineering or related role.
• Strong SQL skills: query optimization, transformations, and data modelling.
• Solid Python for data engineering and pipeline development.
• Hands-on with AWS services (Redshift, Lambda, Glue, S3) and Airflow.
• Familiarity with dbt for transformation and modeling.
• Collaborative mindset, problem-solving, ownership and initiative.

🎁 Benefits

• Competitive salaries, performance bonuses, and equity for specific roles.
• Medical coverage and 24/7 employee assistance program.
• Generous vacation and year-end shutdown.
• Flexible hybrid work model: 3 in-office days per week.
• Learning stipend, training, and internal workshops.
• Company events, team bonding, happy hours, and offsites.