Data Engineer

What To Expect

You are highly driven to constantly innovate and drive positive change, but more importantly, you consistently deliver great results. As a data engineer in PMI Business Solutions, you will have the opportunity to be a part of something different. This position offers exceptional opportunities for every candidate to grow their technical and non-technical skills. If you are selected, you have the opportunity to really make a difference to our business by inventing, enhancing and building new system, delivering results, working on exciting and challenging projects.

JOIN US!

WHO ARE WE LOOKING FOR?

• You have graduated in (Business) Informatics, IT, computer science or a related field.
• 3 + years of experience working with modern data engineering tech stack such as Snowflake, AWS, CI/CD pipelines, Jenkins or GIT.
• Proficient in SQL and an additional programming language such as PowerShell or Python.
• Deep understanding of technical and functional designs for Databases, Data Warehousing, ETL, Reporting, and Data Mining areas.
• Strong understanding of data modeling concepts and techniques, including dimensional modeling and schema design, to ensure efficient data storage and retrieval
• Ideal candidates will have a strong foundation of AI/ML concepts, framework.
• AI-Ready: Strong understanding of LLMs with proven experience applying them to enhance workflows and outcome
• Innovative Application: Skilled in leveraging LLMs for data-driven solutions, automation, or advanced analytics
  
  

• Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations.
• Proven success in enabling Machine Learning workflows through standardized data ingestion, transformation, and metadata management. Ability to develop, train, and deploy machine learning models to solve business problems
• Implement standardized, automated operational processes to deliver accurate and timely data for reporting to meet or exceed SLAs.
• Understanding of development and management of data infrastructure and service.
• Can clearly communicate with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy.
• Experience working directly with remote technical teams
  
  

• Creating, Testing and Deploying Pipelines: Design, develop, and maintain data pipelines for efficient data ingestion, processing, and delivery.
• Ensure Data Completeness and Quality: Implement mechanisms to ensure data completeness, accuracy, and consistency across all data sources and processes.
• Optimizing and Maintaining Warehouse: Continuously improve the performance and scalability of the data warehouse, implementing optimization techniques and best practices.
• Continuous Improvement: Identify opportunities for process optimization and automation, striving for continuous improvement in data management practices.
• Data Analysis: Analyze and interpret data to provide actionable insights and recommendations to stakeholders, supporting data-driven decision-making processes.
• Work with Vendors: Collaborate with external vendors to integrate new data sources into the data ecosystem, ensuring seamless data flow and integration.
• Problem-Solving: Leveraging innovative approaches to optimize processes and enhance data quality.
• Proactive Role: Actively anticipate and resolve potential data issues before they escalate, demonstrating a proactive approach to data.