Data Engineer

Data Engineer

We are looking for an experienced Data Engineer to join our team and take part in designing, building, and maintaining scalable data solutions. In this role, you will work closely with cross-functional teams to ensure reliable data flows, high-quality datasets, and robust infrastructure that supports business and product needs.

Key Responsibilities:
• Design, develop, and maintain ETL/ELT processes and data pipelines
• Build and optimize data models, data warehouses, and analytical layers
• Ensure data quality, reliability, and performance across systems
• Collaborate with analysts, data scientists, and engineering teams
• Monitor, troubleshoot, and optimize data infrastructure in production
• Contribute to data architecture decisions and best practices

Requirements:
• At least 3 years of experience as a Data Engineer
• Strong Python and SQL skills
• Hands-on experience with cloud platforms (AWS / GCP / Azure)
• Experience with data warehouses (BigQuery, Snowflake, Redshift, etc.)
• Knowledge of orchestration tools (Airflow, Prefect, Dagster)
• Experience with streaming technologies (Kafka, Kinesis) – an advantage
• Familiarity with CI/CD, version control, and production deployments
• Strong analytical skills, attention to detail, and problem-solving mindset