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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.
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.
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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.
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  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).
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Jobs or company...

Data Engineer Team Lead

Salary undisclosed

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Linkedn
Original
Simplified
Responsibilities
  • Data Architecture and Engineering:
  • Maintaining existing design and ensuring the reliability of entire company pipelines on track with SLA. It is possible to redesign the architecture based on the results of the evaluation
  • Optimize data storage solutions, including BigQuery, Dataflow, and other cloud-native services, to ensure efficient and secure handling of large datasets
  • Business Collaboration and Strategy:
  • Work closely with business stakeholders to gather requirements, translate business needs into technical solutions, and ensure that data infrastructure supports key business objectives
  • Partner with product teams, marketing, finance, and other departments to drive data-driven decision-making across the bank
  • Data Governance and Security:
  • Ensure the data infrastructure complies with regulatory requirements and internal security standards, with a particular focus on data integrity, privacy, and governance
  • Establish best practices for data quality, consistency, and accessibility across the organization
  • Technical Leadership and Mentorship:
  • Provide guidance to the data engineering team, ensuring adherence to best practices in cloud architecture, data modeling, and pipeline development
  • Mentor junior engineers and foster a culture of continuous learning and innovation within the team
  • Performance Optimization and Innovation:
  • Continuously monitor and improve data processing performance, scalability, and cost-effectiveness
  • Stay abreast of emerging trends and technologies in data engineering, recommending tools and practices that align with the bank's evolving needs
  • Documentation and Reporting:
  • Maintain detailed documentation of data pipelines, workflows, and architecture to ensure transparency and audit-readiness
  • Produce regular reports on data platform performance and provide insights on how data solutions are driving business outcomes


Requirement

  • Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field
  • Having 5-8 years of experience in data engineering, with a proven track record of leading data engineering projects on Google Cloud
  • At least 2 years of experience in team management is required
  • Strong technical expertise in Google Cloud services (BigQuery, Dataflow, Pub/Sub, etc.) and data processing frameworks
  • Experience in data modeling, ETL/ELT processes, and building real-time and batch data pipelines
  • Demonstrated ability to work with business stakeholders, translating technical language into business insights and ensuring data solutions support business needs
  • Knowledge of the banking or financial services industry is highly desirable
  • Proficiency in SQL, Python, or other relevant programming languages
  • Strong understanding of data governance, privacy standards (e.g., GDPR), and compliance frameworks
  • Excellent communication skills and ability to collaborate effectively across departments
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