Key Responsibilities:
- Design, develop, and maintain robust ETL/ELT pipelines using AWS services (e.g., Glue, Lambda, Step Functions, EMR).
- Build and optimize data lakes and data warehouses (e.g., S3, Redshift, Athena) to support analytics and reporting.
- Collaborate with data scientists, analysts, and business stakeholders to understand data needs and deliver high-quality solutions.
- Implement data quality, governance, and security best practices in compliance with gaming regulations.
- Monitor and troubleshoot data workflows to ensure high availability and performance.
- Automate data ingestion from diverse sources including gaming systems, CRM, POS, and IoT devices.
- Support real-time data streaming and processing using tools like Kinesis or Kafka.
- Contribute to the design of scalable architecture for predictive analytics and machine learning models.

Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Experience in data engineering, with a strong focus on AWS cloud services.
- Proficiency in Python, SQL, and infrastructure-as-code tools like Terraform or CloudFormation.
- Experience with data modeling, data warehousing, and big data technologies (e.g., Spark, Hive).
- Familiarity with DevOps practices and CI/CD pipelines.
- Strong understanding of data privacy and compliance in regulated industries.

Preferred Qualifications:
- Experience in the casino, gaming, or hospitality industry.
- Knowledge of real-time analytics and customer behavior modeling.
- AWS certifications (e.g., AWS Certified Data Analytics – Specialty)