AWS Data Engineer

Role Overview: You will be responsible for building and deploying the infrastructure for ingesting high-volume support data from consumer interactions, devices, and apps. Additionally, you will design and implement processes to turn data into insights, model and mine the data to describe the system's behavior, and predict future actions. Your role will involve enabling data-driven change by creating effective visualizations and reports for internal and external stakeholders. You will also develop and maintain data-related code in an automated CI/CD build/test/deploy environment, generate specific reports for various tenants, and conduct research individually and collaboratively on problem-solving. Key Responsibilities: - Build and deploy infrastructure for ingesting high-volume support data - Design and implement processes to turn data into insights - Model and mine data to describe system behavior and predict future actions - Create effective visualizations and reports for stakeholders - Develop and maintain data-related code in an automated CI/CD environment - Generate specific reports for tenants to provide insight into agent performance and business effectiveness - Conduct research individually and collaboratively on problem-solving Qualifications Required: - Bachelor's degree in computer science, Information Systems, or a related field - Minimum of 5+ years of relevant working experience in data engineering - Experience working with cloud Data Warehouse solutions and AWS Cloud-based solutions - Strong experience with AWS Glue, DMS, Snowflake - Advanced SQL skills and experience with relational databases and database design - Experience with working on large data sets and distributed computing like Spark - Proficiency in data pipeline and workflow management tools (Airflow) - Excellent problem-solving, communication, and organizational skills - Ability to work independently and with a team - Self-starter with strong communication skills - Familiarity with agile methodology and ability to work in a global team setup - Quick learner and adaptable (Note: Company Details section omitted as it was not present in the provided Job Description),