AltexSoft

FEBRUARY 11, 2023

The candidates for this certification should be able to transform, integrate and consolidate both structured and unstructured data. Also, they must have in-depth knowledge of data processing languages like Python, Scala, or SQL. It can be applicable for multiple roles such as data analyst, data architect, data engineer etc.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Snowflake

MARCH 27, 2023

Introducing CARTO Workflows Snowflake’s powerful data ingestion and transformation features help many data engineers and analysts who prefer SQL. Workflows is integrated with Snowflake, so users can design, execute, and automate hundreds of analysis components and push these queries to the Snowflake platform.

Generalist 52

Generalist Raw Data Business Analyst SQL 52

Dataquest

JANUARY 25, 2017

Roughly, the operations in a data pipeline consist of the following phases: Ingestion — this involves gathering in the needed data. Processing — this involves processing the data to get the end results you want. Generalist A generalist data engineer typically works on a small team.

Data Engineering 52

Data Engineering Data Engineer Pipeline-centric Database-centric 52

U-Next

AUGUST 17, 2022

Data Engineers must be proficient in Python to create complicated, scalable algorithms. This language provides a solid basis for big data processing and is effective, flexible, and ideal for text analytics. The three primary categories that Data Engineers might fit into are as follows.

Data Engineering 52

Data Engineering Data Engineer Database-centric Pipeline-centric 52

Knowledge Hut

NOVEMBER 28, 2023

Data engineers design, manage, test, maintain, store, and work on the data infrastructure that allows easy access to structured and unstructured data. Data engineers need to work with large amounts of data and maintain the architectures used in various data science projects. Technical Data Engineer Skills 1.Python

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

Edureka

AUGUST 29, 2024

Design algorithms transforming raw data into actionable information for strategic decisions. Design and maintain pipelines: Bring to life the robust architectures of pipelines with efficient data processing and testing. For small companies, the data engineer holds a generalist position where he basically does all it.

Data Engineering 40

Data Engineering Data Engineer Engineering Generalist 40

Grouparoo

OCTOBER 6, 2021

36 Give Data Products a Frontend with Latent Documentation Document more to help everyone 37 How Data Pipelines Evolve Build ELT at mid-range and move to data lakes when you need scale 38 How to Build Your Data Platform like a Product PM your data with business. 97 Your Data Tests Failed!

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52