Data Engineer & Full Stack Developer

Overview

Design, develop, troubleshoot and debug end-to-end applications for Finance Digital transformation, covering data engineering and full-stack development. Work independently within an established framework and with moderate supervision.

What you'll do

• Design, develop, test, and maintain batch and real-time ETL/ELT pipelines across structured and unstructured data sources.
• Build and optimise data lakes, warehouses, lakehouses, schemas, and curated data sets for analytics and operational use.
• Develop responsive web applications using modern front-end frameworks and scalable back-end services.
• Improve application, query, and pipeline performance while following secure coding and privacy standards.
• Partner with product owners, architects, analysts, data scientists, designers, and business stakeholders in an Agile environment.
• Troubleshoot incidents, perform root-cause analysis, document solutions, and continuously improve platform reliability.

What you'll need

• Bachelor's or Master's degree in Computer Science, Information Systems, or equivalent.
• Typically 2-4 years experience.
• 5+ years of software or data engineering experience, including meaningful ownership across both data and application layers.
• Knowledge of using software systems design tools and languages.
• Ability to apply analytical and problem solving skills.
• Strong proficiency in Python and SQL, plus Java, C#, or Node.js/TypeScript for back-end development.
• Hands-on experience with React or Angular, HTML, CSS, JavaScript/TypeScript, and responsive UI development.
• Experience building ETL/ELT solutions with tools such as Apache Spark, Databricks, Airflow, dbt, Kafka, or comparable services.
• Strong knowledge of relational and NoSQL databases, data modelling, query optimisation, and distributed systems.
• Experience with Azure, AWS, or Google Cloud, including storage, compute, identity, serverless, and managed data services.
• Practical knowledge of Git, automated testing, containers, CI/CD, logging, monitoring, and infrastructure-as-code.
• Understanding of authentication, authorisation, encryption, secrets management, secure APIs, and data privacy controls.
• Strong written and verbal communication skills; mastery in English and local language.
• Ability to effectively communicate design proposals and negotiate options.

Details

• Hybrid role requiring an average of 2 days per week from an HPE office.
• Location: Bengaluru, Karnātaka, India.