ProjectPro

JUNE 6, 2025

ETL Developer Roles and Responsibilities Below are the roles and responsibilities of an ETL developer: Extracting data from various sources such as databases, flat files, and APIs. SQL Proficiency in SQL for querying and manipulating data from various databases.

ETL Tools 40

ETL Tools Data Cleanse Data Warehouse Big Data 40

Knowledge Hut

MAY 3, 2023

Many universities and online learning platforms offer data science courses, ranging from introductory courses for beginners to advanced courses for experienced professionals. A degree in computer science, software engineering, or a similar subject is often required of data engineers.

Data Engineer 98

Data Engineer Data Engineering Engineering Data Cleanse 98

ProjectPro

JUNE 6, 2025

This project is an opportunity for data enthusiasts to engage in the information produced and used by the New York City government. In this big data project , you will explore various data engineering processes to extract real-time streaming event data from the NYC city accidents dataset.

Data Engineer 59

Data Engineer Data Engineering Project Engineering 59

Knowledge Hut

JANUARY 18, 2024

This field uses several scientific procedures to understand structured, semi-structured, and unstructured data. It entails using various technologies, including data mining, data transformation, and data cleansing, to examine and analyze that data.

Software Engineering 97

Software Engineering Software Engineer Data Science Engineering 97

ProjectPro

FEBRUARY 8, 2023

ETL Developer Roles and Responsibilities Below are the roles and responsibilities of an ETL developer: Extracting data from various sources such as databases, flat files, and APIs. Data Warehousing Knowledge of data cubes, dimensional modeling, and data marts is required.

ETL Tools 52

ETL Tools Data Cleanse Data Warehouse Big Data 52

Knowledge Hut

DECEMBER 6, 2023

The educational requirement for the field of Data Science is preferably a B.E/B.Tech Data scientists are responsible for tasks such as data cleansing and organization, discovering useful data sources, analyzing massive amounts of data to find relevant patterns, and inventing algorithms.

Programming Language 52

Programming Language Education Data Cleanse Computer Science 52

Knowledge Hut

OCTOBER 30, 2023

Soft Skills Analytical Skills: Strong analytical and problem-solving abilities to interpret data, identify trends, and provide actionable insights. The capacity to translate business requirements into data visualization solutions. Proficiency in SQL for data querying and manipulation, especially when dealing with relational databases.

BI 52

BI Data Cleanse Business Intelligence Business Analyst 52