Data Engineer & Full Stack Developer
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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, test, and maintain batch and real-time ETL/ELT pipelines and optimize data lakes, warehouses, and curated data sets for analytics and operations.
Develop responsive full-stack web applications using modern front-end frameworks and scalable back-end services with focus on performance and security.
Collaborate cross-functionally in Agile teams and manage production operations including troubleshooting, root-cause analysis, and platform reliability improvements.
Minimum Requirements
Bachelor's or Master's degree in Computer Science, Information Systems, or equivalent.
Typically 2-4 years of experience is expected; however, 5+ years of software or data engineering experience with meaningful ownership across data and application layers is required.
Strong proficiency in Python, SQL, and at least one back-end language like Java, C#, or Node.js/TypeScript; front-end experience with React or Angular, HTML, CSS, and JavaScript/TypeScript.
Hands-on experience with ETL/ELT tools (Apache Spark, Databricks, Airflow, dbt, Kafka), relational and NoSQL databases, cloud platforms (Azure, AWS, or Google Cloud), and security best practices.
Ideal Candidate Profile
Experienced in end-to-end data engineering and full-stack development with ownership of both data pipelines and application components.
Comfortable working within Agile teams and collaborating with diverse stakeholders including product owners, data scientists, and architects.
Skilled in building secure, performant, and scalable cloud-native solutions with proficiency across the data infrastructure and front-end web development stack.