Summary
✨ AI‑Generated
An experienced data and application engineer will help modernize enterprise data platforms and build Databricks-based application solutions. Responsibilities include designing and maintaining scalable data pipelines, developing ingestion and transformation workflows, and integrating data capabilities with business systems.
Highlights
Permanent opportunity to build modern data and application platforms, design scalable pipelines, work with Databricks, and collaborate across business and technology teams.
Description
Hiring for Databricks Application Engineer
Location- SYDNEY
Position- Permanent
5+ years of overall IT experience
Key responsibilities would include:
Job Description:
We are seeking a skilled Data Engineer / Databricks Application Engineer to support our evolving technology roadmap as we transition from traditional data archival initiatives toward building modern platform capabilities and Databricks-based application solutions.
This role will play a key part in designing, developing, and maintaining scalable data and application platforms, enabling the delivery of innovative business solutions.
The ideal candidate will have strong experience in Databricks, data engineering, software development, and enterprise integrations, with the ability to work closely with stakeholders across business and technology teams.
Key Responsibilities:
Data Engineering
Design, build, and maintain data pipelines using the Databricks native platform.
Develop and support data ingestion, transformation, and orchestration frameworks.
Build and manage solutions leveraging Lakeflow Connect and Lakeflow Pipelines.
Develop scalable data processing solutions using Python and SQL.
Ensure data quality, reliability, and performance across batch and near real-time workloads.
Collaborate with architecture and platform teams to implement data governance and best practices.
Software Engineering
Design and develop modern web-based applications integrated with Databricks platforms.
Build and consume REST APIs to support application and platform integrations.
Implement secure API authentication and authorization mechanisms.
Participate in application design, development, testing, deployment, and support activities.
Contribute to CI/CD pipelines and promote DevOps best practices across projects.
Platform & Integration
Support enterprise integration requirements across multiple systems and platforms.
Develop scalable, maintainable solutions aligned with enterprise architecture standards.
Work closely with business stakeholders to understand requirements and translate them into technical solutions.
Troubleshoot and resolve complex technical issues while ensuring high system availability and performance.
Required Skills & Experience:
Extensive years of experience in Data Engineering and Software Engineering.
Hands-on experience with the Databricks Native Platform
Strong experience with:
Lakeflow Connect
Lakeflow Pipelines
Data ingestion, transformation, and orchestration frameworks
Proficiency in Python and SQL.
Solid understanding of modern web application architecture.
Experience with REST API design, development, and integration.
Strong knowledge of API security and authentication concepts.
Experience working across the Software Development Lifecycle (SDLC).
Familiarity with CI/CD practices and DevOps methodologies.
Strong analytical, troubleshooting, and problem-solving skills
Note- Must have valid Australian work Authorization.
Interested candidates can Apply or share updated CV on or can reach me on .
Regards
Purnima
