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Epicareer might not working properly because your browser javascript is turned off.

What is JavaScript?

JavaScript is like the magic behind making websites interactive. Basically, it makes Epicareer more enjoyable and engaging.
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Find tutorial for your browser below :
  1. Make sure the webpage is open.
  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.
  6. Make sure Off is chosen in the pop-up menu next to the website.
  7. On the left, click Pop-up Windows.
  8. Make sure Allow is chosen in the pop-up menu next to the website.
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  1. Open Chrome on your computer.
  2. Click. then Settings.
  3. Click Privacy and Security.
  4. Click Site settings.
  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.
  2. Tip: If you're running Mac OS, click the Firefox drop-down list > Preferences.
  3. On the Content tab, click the Enable JavaScript check box.
Visit Site here
  1. Click the "Settings and more" icon at the top right of the Edge browser window.
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  3. From the Settings menu, click Cookies and site permissions.
  4. Scroll down and click on JavaScript.
  5. In the JavaScript window, toggle the slider to "on" or "allowed."
  6. Close the Settings tab.
  7. Refresh the page.
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...

Onsite Technical Lead, Senior Data Engineer, AWS, Looker, Snowflake, DBT, Airflow, Python, SQL

  • Full Time, onsite
  • Intelliswift Software Inc
  • Hybrid3-4x times onsite a week, United States of America
Salary undisclosed
Checking job availability...
Original
Simplified
Technical Lead, Senior Data Engineer with 10+ years in Data Engineering, ELT, Cloud Data Warehouse for a contract, possibly to hire position.

This position is hybrid onsite 3-4 days in the greater Cincinnati area.

Looking for expertise in Snowflake, DBT, Airflow, Five Tran, Python, Pyspark, Looker, SQL, AWS, and Astronomer

Job Description:
  • Working on cloud data warehouses and data pipelines
  • Data engineering, building scalable, sustainable
  • Secure data platforms powering intelligent applications
  • SQL query and stored procedure development
  • Data Modeling and Designing Architecture diagrams
  • Writing complex queries
  • SQL optimizing performance
  • Working with large datasets
  • Working with snowflake and DBT
  • Python programming
  • GitHub and DAG construction
  • Work with unstructured datasets a
  • Handle Parquet, JSON, AVRO and XML file formats
  • CI/CD principles, DevOps practices, software testing
  • Work with AWS storage technologies, S3
  • Work with Orchestration tools - Apache Airflow, Astronomer
  • Design and development of data visualizations and report using Looker, Tableau, Power BI, or custom visualization libraries
What you will need:
  • 10+ years in Data Engineering, ELT Engineering, Cloud Data Warehouse
  • Cloud-based data engineering, AWS and Snowflake
  • Orchestration using Apache Airflow and Astronomer
  • Python
  • DBT
  • Five Tran
  • Python
  • PySpark
  • Looker
  • Advanced SQL
  • Leadership
Good to have:
  • Data Visualization - Tableau, Power BI
  • Docker
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.
Report this job
Technical Lead, Senior Data Engineer with 10+ years in Data Engineering, ELT, Cloud Data Warehouse for a contract, possibly to hire position.

This position is hybrid onsite 3-4 days in the greater Cincinnati area.

Looking for expertise in Snowflake, DBT, Airflow, Five Tran, Python, Pyspark, Looker, SQL, AWS, and Astronomer

Job Description:
  • Working on cloud data warehouses and data pipelines
  • Data engineering, building scalable, sustainable
  • Secure data platforms powering intelligent applications
  • SQL query and stored procedure development
  • Data Modeling and Designing Architecture diagrams
  • Writing complex queries
  • SQL optimizing performance
  • Working with large datasets
  • Working with snowflake and DBT
  • Python programming
  • GitHub and DAG construction
  • Work with unstructured datasets a
  • Handle Parquet, JSON, AVRO and XML file formats
  • CI/CD principles, DevOps practices, software testing
  • Work with AWS storage technologies, S3
  • Work with Orchestration tools - Apache Airflow, Astronomer
  • Design and development of data visualizations and report using Looker, Tableau, Power BI, or custom visualization libraries
What you will need:
  • 10+ years in Data Engineering, ELT Engineering, Cloud Data Warehouse
  • Cloud-based data engineering, AWS and Snowflake
  • Orchestration using Apache Airflow and Astronomer
  • Python
  • DBT
  • Five Tran
  • Python
  • PySpark
  • Looker
  • Advanced SQL
  • Leadership
Good to have:
  • Data Visualization - Tableau, Power BI
  • Docker
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.
Report this job