Snowflake

MARCH 30, 2023

Use Snowflake’s native Kafka Connector to configure Kafka topics into Snowflake tables. B) Transformations – Feature engineering into business vault Transformations can be supported in SQL, Python, Java, Scala—choose your poison!

Engineering 105

Engineering Raw Data Scala Machine Learning 105

Knowledge Hut

DECEMBER 26, 2023

They use technologies like Storm or Spark, HDFS, MapReduce, Query Tools like Pig, Hive, and Impala, and NoSQL Databases like MongoDB, Cassandra, and HBase. They also make use of ETL tools, messaging systems like Kafka, and Big Data Tool kits such as SparkML and Mahout.

Data Science 97

Data Science BI Data Mining Business Intelligence 97

AltexSoft

OCTOBER 30, 2021

Data engineers are programmers first and data specialists next, so they use their coding skills to develop, integrate, and manage tools supporting the data infrastructure: data warehouse, databases, ETL tools, and analytical systems. ETL and BI skills. Deploying machine learning models. Let’s go through the main areas.

Data Engineer 98

Data Engineer Data Engineering Engineering Machine Learning 98

ProjectPro

JUNE 6, 2025

With over 20 pre-built connectors and 40 pre-built transformers, AWS Glue is an extract, transform, and load (ETL) service that is fully managed and allows users to easily process and import their data for analytics. AWS Glue Job Interview Questions For Experienced Mention some of the significant features of AWS Glue.

AWS 40

AWS Data Lake ETL Tools Scala 40

ProjectPro

JANUARY 24, 2023

With over 20 pre-built connectors and 40 pre-built transformers, AWS Glue is an extract, transform, and load (ETL) service that is fully managed and allows users to easily process and import their data for analytics. AWS Glue Job Interview Questions For Experienced Mention some of the significant features of AWS Glue.

AWS 52

AWS Data Lake ETL Tools Scala 52

Knowledge Hut

NOVEMBER 28, 2023

Java Big Data requires you to be proficient in multiple programming languages, and besides Python and Scala, Java is another popular language that you should be proficient in. Kafka Kafka is one of the most desired open-source messaging and streaming systems that allows you to publish, distribute, and consume data streams.

Data Engineer 52

Data Engineer Data Engineering Engineering Generalist 52

AltexSoft

MARCH 30, 2023

Besides that, it’s fully compatible with various data ingestion and ETL tools. Moreover, the platform supports four languages — SQL, R, Python , and Scala — and allows you to switch between them and use them all in the same script. As a result, Scala code usually beats Python and R in terms of speed and performance.

Scala 64

Scala Data Lake BI Google Cloud 64

Grouparoo

DECEMBER 14, 2021

ETL processes are used by organizations to generate business insights from raw data. ETL data pipelines can be built using a variety of approaches. They can be set up to use batch processing or stream processing with tools such as Apache Kafka. ETL Tools A lot of different tools can be used to build ETL pipelines.

Process 52

Process Raw Data Data Warehouse ETL Tools 52

Knowledge Hut

MAY 2, 2024

As per Apache, “ Apache Spark is a unified analytics engine for large-scale data processing ” Spark is a cluster computing framework, somewhat similar to MapReduce but has a lot more capabilities, features, speed and provides APIs for developers in many languages like Scala, Python, Java and R.

Scala 52

Scala Hospitality Retail Healthcare 52

Knowledge Hut

NOVEMBER 17, 2023

Programming and Scripting Skills Building data processing pipelines requires knowledge of and experience with coding in programming languages like Python, Scala, or Java. Additionally, applicants seeking data engineer positions should be aware that most tools for data processing and storage use programming languages.

Data Engineer 52

Data Engineer Data Engineering Engineering Scala 52

Knowledge Hut

SEPTEMBER 26, 2023

We as Azure Data Engineers should have extensive knowledge of data modelling and ETL (extract, transform, load) procedures in addition to extensive expertise in creating and managing data pipelines, data lakes, and data warehouses. Programming languages like Python, Java, or Scala require a solid understanding of data engineers.

Certification 52

Certification Data Engineer Data Engineering Engineering 52

ProjectPro

JUNE 6, 2025

Data engineers must thoroughly understand programming languages such as Python, Java, or Scala. ETL (extract, transform, and load) techniques move data from databases and other systems into a single hub, such as a data warehouse. Get familiar with popular ETL tools like Xplenty, Stitch, Alooma, etc.

Data Engineer 49

Data Engineer Data Engineering Engineering Certification 49

Edureka

FEBRUARY 9, 2023

Data engineers must be well-versed in programming languages such as Python, Java, and Scala. Data is moved from databases and other systems into a single hub, such as a data warehouse, using ETL (extract, transform, and load) techniques. Learn about popular ETL tools such as Xplenty, Stitch, Alooma, and others.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Mining 52

ProjectPro

JANUARY 19, 2022

Data engineers must thoroughly understand programming languages such as Python, Java, or Scala. ETL (extract, transform, and load) techniques move data from databases and other systems into a single hub, such as a data warehouse. Get familiar with popular ETL tools like Xplenty, Stitch, Alooma, etc.

Data Engineer 52

Data Engineer Data Engineering Engineering Certification 52

ProjectPro

JUNE 6, 2025

Prepare for Your Next Big Data Job Interview with Kafka Interview Questions and Answers How is a data warehouse different from an operational database? Data architects require practical skills with data management tools including data modeling, ETL tools, and data warehousing. What is a case class in Scala?

Data Engineer 40

Data Engineer Data Engineering Engineering Hadoop 40

ProjectPro

FEBRUARY 21, 2023

Azure Data Engineer Associate DP-203 Certification Candidates for this exam must possess a thorough understanding of SQL, Python, and Scala, among other data processing languages. You can practice developing Spark applications that integrate with CDP components like Hive and Kafka through hands-on practice. big data and ETL tools, etc.

Certification 52

Certification Data Engineer Data Engineering Engineering 52

ProjectPro

JULY 27, 2021

Prepare for Your Next Big Data Job Interview with Kafka Interview Questions and Answers How is a data warehouse different from an operational database? Data architects require practical skills with data management tools including data modeling, ETL tools, and data warehousing. What is a case class in Scala?

Data Engineer 40

Data Engineer Data Engineering Engineering Hadoop 40