Epicareer Might not Working Properly
Learn More
Please Turn on your JavaScript

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.
How do i turn this on?
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.
Visit Site here
  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.
Visit Site here
  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.
  2. Click Settings.
  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).
Visit Site here
Any Question? Contact us
logo
Jobs or company...

AWS Data Architect Lead

Salary undisclosed

Apply on

Dice
Original
Simplified

Job Title: AWS Data Architect Lead
Location: Woodland Hills, CA (Hybrid)
Duration: 3-6 Months

Responsibilities:
Designing and Implementing Data Solutions: Create blueprints for data storage, processing, and access using AWS services like S3, Glue, EMR, Kinesis by considering factors like performance, scalability, security, and cost-effectiveness.
Lakehouse and ETL: Component design and build of Lakehouse Solution on AWS using Lambda, EMR and EKS for compute resource and Iceberg and S3 as Storage resource. Design and implement ETL (Extract, Transform, Load) pipelines to move and transform data from various sources into the Lakehouse across Bronze, Silver and Gold layers.
Data Delivery for Consumption: Design for data access for querying with Athena, Integration of Iceberg Tables in Glue Catalog with Snowflake for Analytics and Reporting
Big Data Solutions: Working with large datasets and distributed computing using services like EMR (with Spark) to process and Streaming solution with Kinesis, Kafka
Data Governance and Security: Ensuring data quality, compliance with regulations (like GDPR), and implementing security measures to protect sensitive information.
Collaboration and Communication: Working with stakeholders (business analysts, data scientists, developers) to understand their needs and translate them into technical solutions.
You'll need to explain complex concepts clearly.

Skills:
AWS Cloud Expertise: Deep understanding of core AWS services (S3, EC2, EKS, EMS, VPC, IAM, Glue, Athena)
AWS certifications (e.g., Solutions Architect, Big Data Specialty) are highly valued.
Data Warehousing and Modeling: Strong knowledge of dimensional modeling, schema design, and data warehousing principles.
ETL and Data Pipelines: Experience with tools and techniques for data extraction, transformation, and loading.
Big Data Technologies: Familiarity with Hadoop, Spark, Hive, and other big data frameworks.
Databases: Proficiency in SQL and experience with relational databases are must and nice to have NoSQL databases (like DynamoDB) experience.
Programming: Python with PySpark hands on coding for automation, and data processing tasks.
Data Governance and Security: Understanding of data security best practices, access control, and compliance requirements.

Qualifications:
Education: A bachelor's degree in computer science, engineering, or a related field is usually expected.
Experience: 10+ years of experience.

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
Similar Jobs