Data Engineer

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. Originally posted on Himalayas