Data Engineer

At blubank, we are seeking talented, dynamic, and enthusiastic individuals for the position of Data Engineer to join our friendly and professional team. If you’re looking for a workplace where you can grow and continuously learn, this opportunity is for you!

Responsibilities:

• Design and maintain scalable data pipelines and ETL workflows.
• Optimize SQL/NoSQL databases for performance and reliability.
• Process big data using frameworks like Spark and Hadoop.
• Deploy and manage cloud-based data solutions (AWS, GCP, Azure).
• Ensure data quality, security, and governance.
• Collaborate with data scientists, analysts, and engineers.
• Automate workflows and monitor pipeline performance.

Qualifications:

• Minimum academic and professional qualifications: Bachelor’s degree in Computer Science,  or a related field (Master’s degree preferred).
• Experience: 2+ years of experience in data engineering, with hands-on expertise in designing and managing scalable data pipelines and architectures.
• Proficiency in SQL and programming languages such as Python, or Java
• Hands-on experience with data pipeline tools (e.g., Apache Airflow, Apache Spark, Kafka)
• Having experience to work with Relational Databases (e.g. Oracle, PostgreSQL) and NoSQL Databases ( MongoDB, Elasticsearch)
• Strong technical expertise in using Docker for containerization and deployment, Git for version control and collaboration, and Linux for managing and optimizing server environments, including shell scripting and system troubleshooting

Benefits:

• Work from home option
• Flexible working hours
• Training courses and professional development opportunities
• Military service project (Limited)
• Supplemental health insurance
• Team-building budget
• Performance-based bonuses
• Loans
• Lunch subsidies