Data Engineer
Qualifications
Every career requires an element of study and academic qualification, and there can be several study routes and pathways you can take. In following any academic pathway you will study subjects that contribute to the specialised knowledge required to achieve your career goals. These qualifications provide a future employer with the evidence that you have the desired knowledge, understanding and experience of their industry, so it’s important to consider the various types of qualifications available to you and to understand how they can boost your career and create opportunities for you.
- B.Sc. Mathematics
- B.Tech Computer Science
- M.Tech Computer Engineering
- M.Tech Computer Science
Tasks
- Develop technical solutions to improve access to data and data usage.
- Understand data needs and advise company on technological resources.
- Aggregate and analyze various data sets to provide actionable insight
- Develop reports, dashboards, and tools for business-users.
- Assembling large, complex sets of data that meet non-functional and functional business requirements
- Identifying, designing and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS and SQL technologies
- Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition Working with stakeholders including data, design, product and executive teams and assisting them with data-related technical issues
- Working with stakeholders including the Executive, Product, Data and Design teams to support their data infrastructure needs while assisting with data-related technical issues
- Creation and maintenance of optimum data pipeline architecture for ingestion, processing of data
- Assembling of huge, complicated datasets that adhere to business needs
Progression Routes
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