Data Engineer

Data Engineer at NCR Atleos experience working at one of the largest and most recognized financial companies in the world, while being part of a software development team responsible for next generation technologies and solutions. They partner with data and analytics experts to deliver high quality analytical and derived data to our consumers.

We are looking for Data Engineer who like to innovate and seek complex problems. We recognize that strength comes from diversity and will embrace your unique skills, curiosity, drive, and passion while giving you the opportunity to grow technically and as an individual. Design is an iterative process, whether for UX, services or infrastructure. Our goal is to drive up modernizing and improving application capabilities.

And Ideal candidate would have:

• BA/BS in Computer Science or equivalent practical experience
• Overall 3+ years of experience on Data Analytics or Data Warehousing projects.
• At least 2+ years of Cloud experience on AWS/Azure/GCP, preferred Azure.
• Hands on experience in Microsoft Fabric or Databricks
• Programming in Python, PySpark, with experience using pandas, ml libraries etc.
• Orchestration frameworks like ADF, AirFlow
• Experience in various data modelling techniques, such as ER, Hierarchical, Relational, or NoSQL modelling.
• Excellent design, development, and tuning experience with SQL (OLTP and OLAP) databases.
• Good understanding of data security and compliance, and related architecture
• Experience with devops tools like Git, Maven, Jenkins, GitHub Actions, Azure DevOps
• Experience with Agile development concepts and related tools.
• Ability to tune and trouble shoot performance issues across the codebase and database queries.
• Excellent problem-solving skills, with the ability to think critically and creatively to develop innovative data solutions.
• Excellent written and strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.
• Passion for learning with a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment.

Good to have Skills:

• Leverage machine learning and AI techniques on operationalizing data pipelines and building data products.
• Provide data services using APIs.