This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
They should know SQL queries, SQL Server Reporting Services (SSRS), and SQL Server Integration Services (SSIS) and a background in DataMining and Data Warehouse Design. Big Data Engineer/DataArchitect With the growth of Big Data, the demand for DataArchitects has also increased rapidly.
They construct pipelines to collect and transform data from many sources. A Data Engineer is someone proficient in a variety of programming languages and frameworks, such as Python, SQL, Scala, Hadoop, Spark, etc. One of the primary focuses of a Data Engineer's work is on the Hadoop data lakes.
Machine Learning Engineer Machine learning engineers work in the data science team on the AI building, researching, and forming, which helps in ML. DataArchitect The average salary for a DataArchitect is S$110000 per year in Singapore. Below are some of the most common job titles and careers in data science.
This demand and supply gap has widened the big data and hadoop job market, creating a surging demand for big data skills like Hadoop, Spark, NoSQL, DataMining, Machine Learning, etc. Knowledge of Hadoop, Spark, Scala, Python, R NoSQL and traditional RDBMS’s along with strong foundation in math and statistics.
Most of the big data certification initiatives come from the industry with the intent to establish equilibrium between the supply and demand for skilled big data professionals. Below are the top big data certifications that are worth paying attention to in 2016, if you are planning to get trained in a big data technology.
Machine Learning engineers are often required to collaborate with data engineers to build data workflows. Also, you need to gain an excellent understanding of Scala, Python, and Java to work as a machine learning engineer. A data engineer's average annual pay in the United States is $116,950, with a $5,000 cash bonus.
We organize all of the trending information in your field so you don't have to. Join 37,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content