Considering all the work happening in the big data domain, there must be various roles involved in each industry. in this segment, we’ll address some questions regarding these roles:
- What are these job roles?
- What do they do?
So , the major roles, along with their responsibilities, in the big data domain are as follows :
- Big data consultant: This role is mostly functional and domain-specific. The responsibilities include —
- Identifying big data-relevant use cases
- Cost-benefit analysis of big data
- Impact of big data on the organisation
- Architect: This role is mostly technical and requires a sound knowledge of the various big data tools. The responsibilities include —
- Understanding how traditional and big data systems interact
- Designing the infrastructure for distributed computing
- Determining the specifications of the infrastructure or the cluster in terms of the number of nodes in it, the capacity of each node, etc.
- Analyst: Analysts have data-relevant skills. The responsibilities of an analyst include —
- Visualising and reporting facts in an appropriate format
- Deriving insights and patterns from data
- Decent subject matter and implementation knowledge regarding various machine learning and artificial intelligence techniques
Big data engineers
Software developers who have expertise in programming languages such as Java, Python, etc. can preferably transition to a role such as that of a big data engineer. This role requires coding skills, enterprise architecture expertise, and some data science knowledge. Following are the responsibilities or skills of a big data engineer in detail:
- Big data engineers follow the design suggested by big data architects and build the required system.
- They are responsible for developing, maintaining, testing, and evaluating big data solutions.
- They directly work with various components in the Hadoop technology stack, such as MapReduce, Pig, Hive, etc. Hence, big data engineers are expected to have a thorough understanding of such tools.
- They must have good knowledge of data warehousing and NoSQL technologies.
- A software engineer/developer has prior experience in object-oriented design, coding, and testing. These skills are must-haves for a big data engineer as well because a big data engineer is expected to code and develop applications that process big data.
- Experience in algorithms and good problem-solving skills are huge advantages.
In this session, you learnt about the various job roles and opportunities in big data. We hope the session has motivated you to further explore big data and the technologies surrounding it.
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