Tech Stack
ApolloAzureCloudCypressDockerETLGraphQLJavaScriptKafkaKubernetesMS SQL ServerNoSQLPostgresPythonReactReduxSparkSQLTypeScriptVMware
About the role
- Data Engineering Design, build, and maintain scalable data pipelines for batch and real-time processing.
- Develop and optimize ETL/ELT workflows to integrate structured and unstructured data from multiple sources.
- Ensure data quality, governance, and lineage across data platforms.
- Collaborate with Data Scientists and Analysts to support advanced analytics and machine learning initiatives.
- Manage and tune data storage solutions (SQL/NoSQL databases, data warehouses, data lakes).
- Functional
- Manage Snr. Software Engineer Wear multiple hats to help IT in a cross-section of items where needed
- Partner with other departments to design and deploy critical systems
- Challenge yourself and your peers to always improve
- Responsibilities in Support Full Stack Development
- Contribute to backend APIs, data services, and frontend integrations.
- Design and build horizontally scalable components within a new major platform that the team is developing.
- Apply strong coding practices and conduct reviews where necessary.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field (or equivalent experience).
- 8+ years of professional experience in Data Engineering, Full Stack Development, or related roles with 2+ years in People Management.
- Strong background in data pipeline orchestration and big data technologies
- Strong programming skills.
- Excellent problem-solving, communication, and leadership skills.