Data Engineer & Full Stack Developer
Core
Design, develop, and maintain ETL/ELT pipelines and data platforms while building responsive full-stack web applications for Finance Digital transformation.
Role type
Senior IC data engineer & full-stack developer
Builds
Batch and real-time data pipelines, data lakes/warehouses, and scalable web applications
Domain
Finance, Cloud Data Engineering, Full-Stack Development
Deliverable
production ML models | product features (via careerplan.io/jobs/1215318-3-data-engineer-full-stack-developer-at-hpe)
Required skills
Python, SQL, Java/C#/Node.js/TypeScript, React/Angular, Apache Spark, Databricks, Airflow, dbt, Kafka, Cloud (Azure/AWS/GCP), Git, CI/CD, Containers
Preferred skills
Data modelling, query optimisation, distributed systems, secure coding, infrastructure-as-code
Technologies
Apache Spark, Databricks, Airflow, dbt, Kafka, React, Angular, Azure, AWS, Google Cloud
Responsibilities
Design and maintain ETL/ELT pipelines; Build and optimise data lakes and warehouses; Develop front-end and back-end services; Improve application and pipeline performance; Troubleshoot incidents and perform root-cause analysis; Partner with stakeholders in an Agile environment
Seniority
Senior, hands-on IC
