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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 :
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  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.
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  2. Click. then Settings.
  3. Click Privacy and Security.
  4. Click Site settings.
  5. Click JavaScript.
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Visit Site here
  1. Go to Settings.
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  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

Salary undisclosed

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Company Profile

Bhumi Varta Technology (BVT) was founded in 2018 and has already become the leading location and business intelligence software provider in Indonesia. BVT maps all types of big data and uses machine learning for predictive analytics to help all kinds of businesses make better decisions. Our different modules can help with site selection, market planning, logistics, insurance risk, asset management, neighborhood profiling and many other location-related matters.

Description

As a Data Engineer, you will be responsible for designing, building, and managing the data infrastructure that enables organizations to collect, store, and analyze data at scale. You will collaborate with a team of developers, data analysts, and data scientists to ensure that data is accessible and effectively used for analysis and decision-making.

Job Requirements

  • Bachelor's or Master's degree in Computer Science or Data Science
  • 2 to 4 years of experience in Data Engineering
  • 1 year of experience in Pipeline Architecture (e.g., using Apache Airflow or Databricks)
  • 1 year of experience with Cloud Services (e.g., AWS, GCP, Azure)
  • 2 years of experience in Database Management
  • Prior working experience in a location-based analytics environment is a plus
  • Proficiency in Python for data manipulation, pipeline automation, and analytics

Job Description

A. Database Management:

  • Optimize and manage relational (SQL) and/or non-relational (NoSQL) databases.
  • Explore and implement best practices for database performance on large datasets

B. Data Pipeline Architecture:

  • Design, implement, and optimize data pipelines for ingesting, transforming, and serving large-scale location data.
  • Propose pipeline architecture improvements, ensuring scalability and efficiency.

C. ETL/ELT Development:

  • Build and operate ETL/ELT workflows to process large datasets for location-based analytics.
  • Perform data quality checks and optimize workflows for performance and reliability.

D. Cloud Services:

  • Manage cloud-based data infrastructure
  • Optimize cloud resource usage for cost-efficiency, scalability, and security.

E. Distributed Data Processing:

  • Use tools like Apache Spark or Hadoop to process large volumes of location data in a distributed environment.

F. Data Governance:

  • Ensure data quality, security, and compliance with company-wide governance policies

If you're interested in this position, kindly send your latest CV to our email: [email protected]. Thank You.

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