Senior Data Engineer - Remote

Overview

The Senior Data Engineer will be responsible for the technical design and development of analytics dashboards, optimization of ETL pipelines, and implementation of data processing and transformation solutions in a hybrid work environment.

In Short

• Technical design and development of analytics dashboards.
• Development and optimization of ETL pipelines using Amazon Redshift and Apache Airflow.
• Design and maintenance of data pipelines following Kafka streaming standards.
• Big data processing and transformations for algorithms and machine learning.
• Implementation of highly available services in Python and Java.
• Deployment of components using CI/CD tools.
• Data analysis and algorithm implementation for predictions and recommendations.
• Collaboration with teams for front-end data collection.
• Maintenance of services in Kubernetes and AWS.
• Work in an international team to solve complex technical challenges.

Requirements

• Experience with data pipelines, warehousing, and ETLs.
• Proficiency in Python and Java, with knowledge of JavaScript/TypeScript as a plus.
• Solid understanding of AWS cloud environment.
• Knowledge of SQL and NoSQL databases.
• Experience with analytics dashboards and data analysis.
• Familiarity with algorithms and machine learning.
• Knowledge of Docker and Kubernetes.
• Hands-on experience with CI/CD and monitoring tools.
• Good communication skills and ability to work in agile environments.
• Ability to work in an international team.

Benefits

• Permanent contract with a competitive compensation package.
• Hybrid work model with structured onboarding.
• Private health insurance and daily meal vouchers.
• Flexible hours and unlimited vacation policy.
• Reimbursement for gym subscriptions and language classes.
• Relocation package for international hires.
• Regular company events and team-building activities.
• Bonuses for successful employee referrals.
• Fresh snacks and drinks available in the office.