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  2. In the Safari app on your Mac, choose Safari > Preferences, then click Security.
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  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.
  6. Select Sites can use Javascript.
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  1. If you're running Windows OS, in the Firefox window, click Tools > Options.
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  1. Click the "Settings and more" icon at the top right of the Edge browser window.
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  4. Scroll down and click on JavaScript.
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  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...
Q

AWS Cloud Data Engineer (Data Ingestion, ETL)

$ 5,500 - $ 6,500 / month
Checking job availability...
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Job Description

Responsibilities:

- Work with data engineering and machine learning teams to improve our data infrastructure for increased reliability, maintainability, and scalability.

- Architect and design solutions to improve our data delivery capabilities, data quality monitoring, and data pipeline lifecycle.

- Architect and administer our cloud applications such as AWS Glue, Sagemaker, LakeFormation, iceberg lakehouse, etc.

- Managing Regression Testing Suite , Continuous Integration and Contnuous deployment Pipelines.

Mandatory Skill-set

4+ years of designing and building production data pipelines from ingestion to consumption in a cloud environment using SQL and Python.

Experience in cloud application architecture & administration in AWS or Azure.Hands-on experience designing, building and operationalizing large-scale enterprise data solutions and applications. (Airflow, Databricks, Snowflake, Serverless Functions, Cloud storage preferred).

Background in in custom ETL design, implementation, and maintenance. Hands-on experience with Unix/Linux Command Line Interface (CLI).

Thanks,

Rajkumar

UEN 199801439D

Job Description

Responsibilities:

- Work with data engineering and machine learning teams to improve our data infrastructure for increased reliability, maintainability, and scalability.

- Architect and design solutions to improve our data delivery capabilities, data quality monitoring, and data pipeline lifecycle.

- Architect and administer our cloud applications such as AWS Glue, Sagemaker, LakeFormation, iceberg lakehouse, etc.

- Managing Regression Testing Suite , Continuous Integration and Contnuous deployment Pipelines.

Mandatory Skill-set

4+ years of designing and building production data pipelines from ingestion to consumption in a cloud environment using SQL and Python.

Experience in cloud application architecture & administration in AWS or Azure.Hands-on experience designing, building and operationalizing large-scale enterprise data solutions and applications. (Airflow, Databricks, Snowflake, Serverless Functions, Cloud storage preferred).

Background in in custom ETL design, implementation, and maintenance. Hands-on experience with Unix/Linux Command Line Interface (CLI).

Thanks,

Rajkumar

UEN 199801439D