Lead AWS Data Engineer

Role Overview: As a Data Engineer at the company, you will play a crucial role in designing and implementing processes to extract insights from data. Your responsibilities will include building and deploying infrastructure for data ingestion, developing data-related code in an automated environment, generating reports for stakeholders, and researching solutions to data-related problems both individually and collaboratively. Key Responsibilities: - Build and deploy infrastructure for ingesting high-volume support data from consumer interactions, devices, and apps - Enable data-driven change by creating effective visualizations and reports for stakeholders - Develop and maintain data-related code in an automated CI/CD environment - Generate specific reports to provide insights into agent performance and business effectiveness - Conduct research individually and in collaboration with other teams to solve data-related problems Qualifications Required: - 12+ years of experience with skills/toolsets such as AWS services (EC2, Lambda, Glue), Python, Pyspark, SQL - Expertise in designing and optimizing large-scale data pipelines and distributed systems - Experience with creating APIs and modern data architecture (microservices/event-driven) - Proficiency with end-to-end design and Elasticsearch/OpenSearch Additional Details of the Company: At the core of the company's mission is the commitment to tailoring growth for customers by helping them achieve their goals. The company fosters a culture of agility, innovation, and progress, with a hands-on leadership style that prioritizes results and growth. Employees can expect clear objectives, abundant opportunities for engagement with stakeholders, and a focus on continuous learning and upskilling through Nexversity. The company also offers a hybrid work model, comprehensive family health insurance coverage, and accelerated career paths for professional growth. Join the passionate team at the company and embark on a journey of growth and innovation! Role Overview: As a Data Engineer at the company, you will play a crucial role in designing and implementing processes to extract insights from data. Your responsibilities will include building and deploying infrastructure for data ingestion, developing data-related code in an automated environment, generating reports for stakeholders, and researching solutions to data-related problems both individually and collaboratively. Key Responsibilities: - Build and deploy infrastructure for ingesting high-volume support data from consumer interactions, devices, and apps - Enable data-driven change by creating effective visualizations and reports for stakeholders - Develop and maintain data-related code in an automated CI/CD environment - Generate specific reports to provide insights into agent performance and business effectiveness - Conduct research individually and in collaboration with other teams to solve data-related problems Qualifications Required: - 12+ years of experience with skills/toolsets such as AWS services (EC2, Lambda, Glue), Python, Pyspark, SQL - Expertise in designing and optimizing large-scale data pipelines and distributed systems - Experience with creating APIs and modern data architecture (microservices/event-driven) - Proficiency with end-to-end design and Elasticsearch/OpenSearch Additional Details of the Company: At the core of the company's mission is the commitment to tailoring growth for customers by helping them achieve their goals. The company fosters a culture of agility, innovation, and progress, with a hands-on leadership style that prioritizes results and growth. Employees can expect clear objectives, abundant opportunities for engagement with stakeholders, and a focus on continuous learning and upskilling through Nexversity. The company also offers a hybrid work model, comprehensive family health insurance coverage, and accelerated career paths for professional growth. Join the passionate team at the company and embark on a journey of growth and innovation!