LR083 Big Data Microservices Engineer III

With a vast knowledge of machine learning and engineering, the Big Data Engineer needs to possess a top-notch skill that would help with adequate maintenance of huge amount of data at his/her disposal. The basic skills required range from SQL server reporting to top notch integration services and an array of scripting languages such as Python and perl. A Big Data Engineer is responsible for the creation and management of a company’s Big Data and tools, while accruing result from a large database. This role entails and is nominally similar to that of a Data scientist. As required, the Big Data Engineer is mainly geared towards engineering, and machine learning skills play a vital role in their job description. The Data Engineer builds data processing frameworks that handle the business’s growing database. Works with senior data science leadership as well as other Data and Analytics teams in leveraging data with reporting and scientific tools. The Big Data Engineer strives to develop new and improved data engineering capabilities continuously. Highly proficient in the use of Ms Word, Ms Excel, PowerPoint, and Outlook, which will all be necessary for the creation of both visually and verbally engaging reports and presentations. The Big Data Microservice Engineer must also possess exceptional skills in SQL server reporting services, analysis services, Tableau, Sales force, integration services, or any other data visualization tools. Must have had experience in data warehousing, including dimensional modeling concepts. Demonstrate proficiency in scripting languages, such as Python, Perl, and so forth. A strong requirement is for the applicant to possess machine learning experience and apt experience with significant data infrastructure. Demonstrate substantial experience and in-depth knowledge of data mining techniques and relational databases.