Data Engineer

Full job description
About Bitus Labs Bitus Labs is a cutting-edge AI Gaming company dedicated to revolutionizing the gaming industry through innovative artificial intelligence technologies. As we continue to grow, we are building a robust data platform to support our ambitious projects and empower our AI-driven solutions.

About the Role
We are looking for a highly skilled Data Engineer to join our team and play a key role in designing, building, and optimizing large-scale data processing architectures. The ideal candidate will have extensive experience working with AWS cloud services and a deep understanding of big data frameworks. You will be responsible for developing scalable data pipelines, ensuring data reliability, and enabling advanced analytics capabilities. We move fast, with precision, and always execute with privacy at the forefront.

Key Responsibilities
Design and implement scalable and efficient data architectures to process large volumes of structured and unstructured data
Develop, optimize, and maintain real-time and batch ETL/ELT pipelines using modern data engineering tools
Leverage AWS services (S3, Redshift, Glue, Lambda, EMR, Kinesis, etc.) to build and manage cloud-based data infrastructure
Work with big data technologies such as Spark, Hadoop, and Kafka to support real-time and batch processing
Ensure data quality, security, and governance across the entire data lifecycle
Monitor and troubleshoot data pipelines and infrastructure issues, ensuring high availability and reliability
Optimize database performance and design data models that support business intelligence and analytics
Collaborate with data scientists, analysts, and software engineers to enable data-driven decision-making

Requirements
3+ years of experience in data engineering, big data processing, or cloud data solutions
Proficiency in Python or Scala for data processing and automa