Data Engineer

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

📋 Description

• Design and manage batch and streaming data pipelines for both structured and unstructured data.

• Primarily utilize Kafka, Spark on Databricks, and Airflow.

• Model and enhance data for both experimentation and production serving.

• Collaborate with data scientists and backend engineers on data agreements and reliability.

• Take ownership of pipeline quality, encompassing testing, monitoring, and performance optimization.

• Engage in the team's on-call rotation for the managed pipelines.

• Transform data scientist experimentation into resilient, production-level systems.

• Assist in fraud detection, recommendations, personalization, and GenAI system development.

⛳️ Requirements

• Minimum of 3 years in data engineering or software engineering focused on data.

• Proficient in Python, including PySpark.

• Experience with Kafka and stream processing.

• Familiarity with Databricks.

• Knowledge of Airflow or equivalent orchestration tools.

• Strong SQL and data modeling skills, along with solid relational database expertise.

• A software engineering mindset.

• Proficient spoken English (at least Upper-Intermediate level).

🏝️ Benefits

• Flexibility with hybrid and remote working options.

• Opportunities for continuous self-improvement and growth, including a budget for certifications and courses.

• Competitive salary along with financial bonuses.

• Comprehensive medical insurance coverage.

• Company-provided AI agent.

• Wellbeing package including online yoga classes, Yakaboo, BetterMe App: Health Coaching, and BetterMe App: Mental Health.

• Corporate events and enjoyable team-building activities.