Senior Data Engineer
Summary
Leads data-pipeline architecture and development using Azure Databricks, Python, PySpark, and SQL to build reliable batch and streaming data solutions in a Databricks environment.
Role – Technology Lead
Technology – Azure Databricks, Python, PySpark, specialized in building robust and reliable data processing solutions within a Databricks environment
📍 Location – Bucharest, Timisoara, Cluj, Sibiu (Hybrid from one of these offices 1 day per week, remote option cannot be considered)
📌 Job Description
Today, the corporate landscape is dynamic and the world ahead is full of possibilities! None of the amazing things we do would be possible without an equally amazing culture, the environment where ideas can flourish and where you are empowered to move forward as far as your ideas will take you.
We assure that your career will never stand still, we will inspire you to build what’s next and we will navigate further together. Our journey of learnability, values and trusted relationships with our clients continue to be the cornerstones of our organization and these values are upheld only because of our people.
Your role
In the role of Technology Lead, you will interface with key stakeholders and apply your technical proficiency across different stages of the Software Development Life Cycle including Requirements Elicitation, Application Architecture definition and Design.
You will play an important role in creating the high level design artifacts. You will also deliver high quality code deliverables for a module, lead validation for all types of testing and support activities related to implementation, transition and warranty. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued.
Required:
Strong, hands-on experience with Azure Databricks (core technology)
Deep expertise in Python / PySpark and SQL
Proven experience designing and managing data processing in Databricks, including: o Handling and processing streaming and batch data o Designing appropriate data models within Databricks o Managing multiple parallel data processes on shared source dat- Solid experience with Azure (cloud services + CI/CD pipelines in YAML) Experience with Infrastructure as Code (ARM/Bicep)
Agile way of working Preferred
Broader understanding of end-to-end data solutions Personal Besides the professional qualifications of the candidates we place great importance in addition to various forms personality profile.
These include:
Strong focus on quality, reliability, and maintainability (avoiding technical debt) • Proactive mindset with emphasis on continuous improvement
Strong collaboration and communication skills
Structured way of working and pragmatic engineering approach (no over-engineering or blind use of patterns) About Infosys Infosys is a global leader in next-generation digital services and consulting.
We enable clients in 46 countries to navigate their digital transformation. With over three decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through the many next of their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change.
We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight.
Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise and ideas from our innovation ecosystem.
📩 If you’re interested and meet the qualifications, please send your CV at alina.pchelnikova@dcvtechnologies.co.uk