AWS Cloud - Data Engineer
Core
Build and scale data ingestion pipelines and reporting/analytics capabilities on AWS cloud-native technologies for enterprise clients.
Role type
Senior AWS Cloud Data Engineer
Builds
Enterprise Data Platform features supporting reporting and analytics
Domain
Cloud infrastructure / Data engineering
Deliverable
production ML models | product features
Required skills
AWS serverless technologies, SQL, PostgreSQL, MSSQL, data streaming architectures, microservice patterns, message-oriented integration, code quality, performance optimization, scalability design, end-to-end ownership
Preferred skills
Pharmaceutical industry experience
Technologies
AWS, SQL, PostgreSQL, MSSQL
Responsibilities
Collaborate with senior leadership and cross-functional teams to deliver new features; Write clean, robust, and maintainable code; Demonstrate end-to-end ownership from analysis to deployment; Utilize full stack within AWS serverless technologies; Scale up data ingestion pipelines.
Seniority
Senior, hands-on IC
Full job description
Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change.
By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses.
From prototype to real-world impact - be part of a global shift by doing work that matters.
Work with senior leadership, architects, engineers, data analysts, product managers and cloud infrastructure teams to deliver new features and capabilities.
Write clean, robust, and well-thought-out code with an emphasis on quality, performance, scalability, and maintainability.
Demonstrate strong end to end ownership & craftsmanship – analysis, design, code, test, debug, and deploy.
Utilize full stack within AWS server-less technologies.
Years of Experience :
6-8 Years
Technology:
Cloud AWS, SQL, PostgreSQL
Cloud:
AWS,
Database:
MSSQL,
Database:
PostgreSQL,
Communications:
Communications
Resource must have a strong understanding and demonstrated experience with data streaming architectures that leverage microservice & message-oriented integration patterns and practices within AWS cloud native technologies. Resource has to help scale up data ingestion pipelines which are at the core of Enterprise Data Platform that support reporting and analytics.
Pharmaceutical industry experience preferred
At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.
