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What is JavaScript?

JavaScript is like the magic behind making websites interactive. Basically, it makes Epicareer more enjoyable and engaging.
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  2. In the Safari app on your Mac, choose Safari > Preferences, then click Security.
  3. Make sure the Enable JavaScript checkbox is selected.
  4. Click Websites.
  5. On the left, click Content Blockers.
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  7. On the left, click Pop-up Windows.
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  2. Click. then Settings.
  3. Click Privacy and Security.
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  5. Click JavaScript.
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  4. Scroll down and click on JavaScript.
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Visit Site here
  1. Go to Settings.
  2. Click Advanced in the left sidebar, and click Privacy & security.
  3. Under Privacy and security, click Site settings.
  4. Click JavaScript.
  5. At the top, turn on or off Allowed (recommended).
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Jobs or company...

Data Engineer

Salary undisclosed

Apply on

Dice

Availability Status

This job is expected to be in high demand and may close soon. We’ll remove this job ad once it's closed.

Original
Simplified
Pay: $47.99-$79.13 - based on expereince

Job Description:

The following are Mandatory Job Specific Knowledge, Skills, and Experience
* Building Data Pipelines with most of the following sources
o Google Ad-Serving: CM360
o Google DSP: DV360
o Google Search: SA360
o Meta: Marketing API
o Meta: Conversions API
o TikTok: Marketing API
o TikTok: Events API
* Experience with most of the following technologies, tools, and platforms
o Snowflake
o PosgreSQL
o Informatica/IICS
o Mulesoft
o Python
o Cloud Composer
o Google Cloud Platform
o UC4
o Airflow
* Experience shaping data for the following usecases (including how to calculate common KPIs and other metrics)
o Marketing Mix Modelling
o Real-Time Media Performance
o Campaign Analytics Dashboards

Description
We are seeking a highly skilled and experienced Senior Data Engineer to join the Marketing Analytics and Technology team.

As a Senior Data Engineer, you will be responsible for designing, developing, and maintaining data infrastructure, systems, and frameworks to enable efficient and scalable data-driven marketing initiatives. You will collaborate closely with cross-functional teams including data scientists, analysts, software developers, machine learning engineers and IT teams to build robust and reliable data pipelines, data models (data domains), and analytics solutions (data products). This is an exciting opportunity to play a key role in driving the data-driven marketing initiative within our organization.

Responsibilities
* Designing, developing, and maintaining data infrastructure, systems, and frameworks for marketing data processing and analytics.
* Building and managing ETL pipelines to efficiently handle large volumes of data from diverse sources.
* Optimizing data storage and retrieval processes to ensure high performance and scalability.
* Collaborating with data scientists and analysts to define and implement data models and transformations for marketing analytics.
* Monitoring and troubleshooting data quality and integrity issues to ensure accurate and reliable insights.
* Identifying and implementing innovative solutions for data processing, storage, and retrieval to improve overall efficiency and productivity.
* Providing technical expertise and guidance to our offshore data engineering team
Other Requirements
* Solid understanding of data modeling, data warehousing, and ETL processes.
* Excellent problem-solving and troubleshooting skills.
* Ability to communicate clearly (workplace communication skills) communication and collaboration abilities.
* Ability to work independently and as part of a team in a fast-paced and dynamic environment.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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