Key Responsibilities:
•    Spreading the DevOps culture across business units by implementing on-commit deployment and automated testing solutions.
•    Developing systems using the latest technologies to streamline the release management process into AWS.
•    Obtaining an understanding of product offerings and helping improve the customer experience.
•    Ensuring application monitoring and metrics are captured for all deployed assets.
•    Enforcing quality and security requirements in release pipelines.
•    Identifying areas of improvement in the environment and making recommendations on improvements1.
•    Design, develop, and maintain scalable data pipelines and ETL processes using AWS services such as Glue, Lambda, and Redshift.
•    Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver high-quality data solutions.
•    Implement data integration and transformation processes to ensure data quality and consistency.
•    Optimize and tune data pipelines for performance and cost-efficiency.
•    Monitor and troubleshoot data pipeline issues to ensure data availability and reliability.
•    Develop and maintain documentation for data pipelines, processes, and infrastructure.
•    Stay up-to-date with the latest AWS services and best practices in data engineering.
•    Leverage Apache Flink for real-time data processing and analytics, ensuring low-latency data handling.
•    Employ Apache Kafka for stream processing and integrating data from various sources into the data pipelines.
Preferred Qualifications:
•    AWS Certified Developer – Associate or similar certification.
•    Experience with microservices architecture.
•    Knowledge of security best practices in cloud environments.