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Big data engineer

Dataconomy

Big data engineers are essential in today’s data-driven landscape, transforming vast amounts of information into valuable insights. As businesses increasingly depend on big data to tailor their strategies and enhance decision-making, the role of these engineers becomes more crucial.

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The Data Dilemma: Exploring the Key Differences Between Data Science and Data Engineering

Pickl AI

Unfolding the difference between data engineer, data scientist, and data analyst. Data engineers are essential professionals responsible for designing, constructing, and maintaining an organization’s data infrastructure. Read more to know.

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Data Scientist Job Description – What Companies Look For in 2025

Pickl AI

In the Indian context, data scientists often work in dynamic environments such as IT services, fintech, e-commerce, healthcare, and telecom sectors. They are expected to be versatile, handling everything from data engineering and exploratory analysis to deploying machine learning models and communicating insights to business stakeholders.

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Business Analytics vs Data Science: Which One Is Right for You?

Pickl AI

Data Science is an interdisciplinary field that focuses on extracting knowledge and insights from structured and unstructured data. It combines statistics, mathematics, computer science, and domain expertise to solve complex problems. Key roles include Data Scientist, Machine Learning Engineer, and Data Engineer.