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 Preferred Qualification 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 HOW CAN YOU MAKE HISTORY WITH US? 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. ContinuousImprovement: 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 escalat—demonstrating a proactive approach to data. Please note that only online applications will be taken into consideration. Only selected candidates will be contacted. #J-18808-Ljbffr