Data Engineer Job Description A Data Engineer is a data professional who uses their expertise in data engineering and programming to build systems that collect, manage, and convert raw data into usable information for business analysts. Requirements and skills • Previous 7+ years of experience as a data engineer or in a similar role • Technical expertise with data models, data mining, and segmentation techniques • Knowledge of programming languages (e.g., Java and Python) • Hands-on experience with SQL database design • Great numerical and analytical skills • Degree in Computer Science, IT, or similar field; a masters is a plus. • Data engineering certification (e.g., IBM Certified Data Engineer) is a plus. • Big data technologies such as Hadoop, Spark, and Kafka. • Also be familiar with cloud platforms such as AWS, Google Cloud, and Azure. • Should be proficient in SQL, Excel, Tableau, or other BI tools. They should also have a good understanding of statistical analysis and modelling techniques, as well as business acumen. Responsibilities • Analyse and organize raw data. • Build data systems and pipelines. • Evaluate business needs and objectives. • Interpret trends and patterns. • Conduct complex data analysis and report on results. • Prepare data for prescriptive and predictive modelling. • Build algorithms and prototypes. • Combine raw information from different sources. • Explore ways to enhance data quality and reliability. • Identify opportunities for data acquisition. • Develop analytical tools and programs. • Collaborate with data scientists and architects on several projects.