Number of people required to handle big data related roles is increasing every day. Below are 10 best big data careers that you can venture into.
WaterFord Technologies points out some interesting statistics about big data. For instance, it predicts that by 2020, online business to business and business to consumer transactions will reach 450 billion per day. This points to the ever increasing significance of big data as businesses will want to make use of it to increase profitability. The number of people required to handle big data related roles is also increasing every day. Below are 10 best big data careers that you can venture into.
The position of an analytics architect in an organisation involves driving the definition of IT reporting and analytics future architecture for the organisation. While in this position, you work with multiple stakeholders within IT and cross-functional business areas supporting the realization of enterprise objectives over multiple business domains. You are particularly responsible for the development of a roadmap for reporting and big data analytics to drive value for the organization. To qualify for the position, you need a degree in computer science, mathematics or a related field.
The position of big data engineer requires you to have a degree in software engineering or related field. Once hired as a big data engineer, you work with business intelligence team in the organization and play a critical role in producing insight from big data. Specific roles include support and maintenance of existing big data infrastructure, developing processes to monitor the proper functioning of big data infrastructure, developing processes to enrich big data with tertiary data at scale among others.
As a big data developer, you are tasked with the ingestion of huge volumes of data, transforming the data and delivering it to clients through APIs and clients’ portal. You are required to have a degree in software engineering or a related field.
As a big data cloud engineer, you are expected to play a key role in the organisation of data and analytics, including the management of data pipelines. More specifically, you are responsible for automation and management of key data pipelines, developing processes to operationalize data sets and models and supporting the development of new solutions for real-time data and analytics use cases. Academic qualification is a degree in computer science or software engineering.
The role of a big data technical manager in an organization involves the provision of guidance to the core big data team on strategies and solutions to be used. You are required to have a mastery of data warehousing paradigm, including current and emerging technologies.
The role of a big data and AI engineer is to design and implement big data and AI stack with a specific focus on real time processing, machine learning, analytics and artificial intelligence. Additionally, you are required to evaluate the latest technologies and make appropriate dependency choices. You must have a degree in computer science to be considered for this job.
To qualify for the position of a data architect, you are required to have a degree in computer science, computer engineering or any related technical field. The roles of a data architect include the development of end to end data delivery solutions and leading in data design and implementation for both projects and processes. You are also required to ensure that data delivery solutions adhere to data architecture principles.
This role requires you to have a degree in programming and be able to identify, assess and solve complex problems including an in-depth evaluation of variable factors. You are mainly tasked with defining strategies, developing and delivering solutions that enable the collection, processing and management of information from single or multiple sources and the delivery of the information in support of critical business processes.
The role of a big data analyst involves facilitating the build out of an analytics platform to capture data. It also involves identifying and implementing solutions to optimize performance and maintain low latency. You must have excellent knowledge of algorithmic trading, fixed protocol and electronic trading to be considered for this position in a business organisation.
To qualify for this role, you should have a degree in a data related field such as computer science and programming. Essentially, a big data consultant is involved in defining strategies, developing and delivering solutions for collection and management of information from a single or multiple sources. The goal is to help the organization to optimize its business performance by managing, sorting and filtering volumes of data and extracting meaningful insights from the data.
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