Data Engineer & Full Stack Developer
Hewlett Packard Enterprise (HPE)Match Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessLog in to see why each signal reads the way it does.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, test, and maintain batch and real-time ETL/ELT data pipelines handling both structured and unstructured data sources.
Build, optimize, and manage data platforms including data lakes, warehouses, and lakehouses for analytics/operational use.
Develop responsive full-stack web applications and enhance performance and security of applications, queries, and data pipelines.
Minimum Requirements
Bachelor’s or Master’s degree in Computer Science, Information Systems, or equivalent.
Typically 2-4 years experience, with total 5+ years in software or data engineering with ownership across data and application layers.
Proficiency in Python, SQL, and at least one backend language among Java, C#, Node.js/TypeScript; experience with front-end frameworks like React or Angular.
Hands-on experience with ETL/ELT tools (Apache Spark, Databricks, Airflow, dbt, Kafka), relational and NoSQL databases, distributed systems, and cloud platforms (Azure, AWS, or Google Cloud).
Ideal Candidate Profile
Experienced in end-to-end finance digital transformation projects involving data engineering and full-stack development.
Capable of working independently within an established framework, balancing technical problem solving with collaboration across teams in an Agile environment.
Strong operational focus on performance, security, troubleshooting, platform reliability, and integration with cloud and infrastructure automation tools.