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...

Quantexa developer

Salary undisclosed

Apply on

Linkedn
Original
Simplified
  • Implement data transformation, aggregation, and enrichment processes to support various data analytics and machine learning initiatives
  • Collaborate with cross-functional teams to understand data requirements and translate them into effective data engineering solutions
  • Design, develop, and implement Spark Scala applications and data processing pipelines to process large volumes of structured and unstructured data
  • Integrate Elasticsearch with Spark to enable efficient indexing, querying, and retrieval of data
  • Optimize and tune Spark jobs for performance and scalability, ensuring efficient data processing and indexing in Elasticsearch
  • Implement data transformations, aggregations, and computations using Spark RDDs, DataFrames, and Datasets, and integrate them with Elasticsearch
  • Develop and maintain scalable and fault-tolerant Spark applications, adhering to industry best practices and coding standards
  • Troubleshoot and resolve issues related to data processing, performance, and data quality in the Spark-Elasticsearch integration
  • Monitor and analyze job performance metrics, identify bottlenecks, and propose optimizations in both Spark and Elasticsearch components
  • Ensure data quality and integrity throughout the data processing lifecycle
  • Design and deploy data engineering solutions on OpenShift Container Platform (OCP) using containerization and orchestration techniques
  • Optimize data engineering workflows for containerized deployment and efficient resource utilization
  • Collaborate with DevOps teams to streamline deployment processes, implement CI/CD pipelines, and ensure platform stability
  • Implement data governance practices, data lineage, and metadata management to ensure data accuracy, traceability, and compliance
  • Monitor and optimize data pipeline performance, troubleshoot issues, and implement necessary enhancements


Requirements
  • Must be Quantexa certified data engineer / data architect and proficient with the tool
  • Proven experience as a Data Engineer, working with Hadoop, Spark, and data processing technologies in large-scale environments
  • Proficiency in Scala programming language and familiarity with functional programming concepts
  • Experience with Quantexa tool is highly preferred
  • In-depth understanding of Apache Spark architecture, RDDs, DataFrames, and Spark SQL
  • Experience with containerization platforms such as OpenShift Container Platform (OCP) and container orchestration using Kubernetes
  • Proficiency in programming languages commonly used in data engineering, such as Spark, Python, Scala, or Java
  • Knowledge of DevOps practices, CI/CD pipelines, and infrastructure automation tools (e.g., Docker, Jenkins, Ansible, BitBucket)
  • Experience with Graphana, Prometheus, Splunk will be an added benefit
Similar Jobs