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Job Description for a Data Engineer

Job Description for a Data Engineer

In the past decade, data and all professional fields that depend on it have experienced a paradigm shift. In the past, the emphasis was on extracting actionable insights out of raw data. Data management is now a major focus. Data engineers have been increasingly recognized and in demand.
Data engineers prepare the foundation for databases and their architecture. They assess different needs and choose the right database methodology to create robust architecture. They then implement the infrastructure and create entire databases from scratch. Data engineers also test the system to find bugs and performance issues. A database that stops working can cause a disruption to the entire IT infrastructure. Enterprises need to have a data engineer who can provide technical expertise in order to manage large-scale data processing systems that are subject to performance and scaling issues.
Data engineers also support data science teams by creating data procedures that aid in data mining, production, and modelling.
Data Engineer Role Types:
Dataquest has identified three main areas or roles that data engineers should be aware of:
1. Generalist:
A generalist is a data engineer working in a small company, or with a small team. A generalist is a data engineer who plays many roles within an organisation. Generalists are responsible for managing all aspects of the data processing process, from data management to analysis. Dataquest says this role is ideal for professionals who wish to move from data science to engineering, as small businesses are not geared towards scaling up data engineering.
2. Pipeline-centric:
These data engineers typically work in medium-sized companies. They work closely with data scientists to make enterprise data accessible. A pipeline-centric data engineer should have a deep understanding of distributed systems and computer science.
3. Database-centric:
Data flow management requires specialist expertise and attention in large or international companies. These companies are where data engineers work on analytics databases. A database-centric engineer is responsible for developing table schemas and working on data warehouses in multiple databases.
Data Engineer Responsibilities:
Data engineers organize enterprise data and look for trends or inconsistencies that could impact business objectives. This role requires a high level of technical skills in areas such as programming, mathematics, and computer science. Data engineers also need soft skills to share data trends with non-technical stakeholders, colleagues, and team members.

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