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IDR6,000,000 - 7,700,000/Month
Full-Time · On-site
Minimum Bachelor’s Degree
1 - 3 years of experience
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Job Requirements

On-site
1 - 3 years of experience
Minimum Bachelor’s Degree

Skills

Communication Skills

Research Skills

Time Management

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Online 22 hours ago

Job description for Data Engineer at PT Asa Ren Global Nusantara

Job Descriptions :

  • Collaborate with stakeholders to design and implement scalable and efficient data pipelines and storage solutions.
  • Develop and maintain data models for databases, data warehouses, and other data storage systems to ensure data accuracy, consistency, and accessibility.
  • Build and maintain ETL (Extract, Transform, Load) processes to integrate data from various sources into a centralized data repository, ensuring data quality and consistency.
  • Manage and optimize databases for performance, scalability, and reliability. This may involve working with relational databases, NoSQL databases, and distributed data storage systems.
  • Implement data processing solutions for real-time and batch processing, including technologies like Apache Spark, Apache Flink, and Hadoop.
  • Implement and enforce data quality standards, data governance policies, and security measures to protect sensitive data.
  • Work closely with data scientists, analysts, and other stakeholders to understand their data requirements and provide the necessary infrastructure and tools for analytics and reporting.
  • Optimize data infrastructure for performance, scalability, and cost-effectiveness, ensuring that systems can handle growing volumes of data.
  • Document data engineering processes, data models, and infrastructure to facilitate knowledge transfer and ensure a clear understanding of the data architecture.
  • Implement monitoring solutions to track the health and performance of data pipelines and proactively address any issues that may arise.
  • Work with software developers and data scientists to integrate data engineering solutions with existing systems and applications.
Requirements :
  • Bachelor or Master Degree in Computer Science, Information Technology, Computer Engineering, or a related field.
  • Experience in database management systems, data modeling, and SQL (Structured Query Language).
  • Proficiency in Python, Java or Scala programming languages.
  • Familiarity with big data technologies is often required. This may include knowledge of tools and frameworks like Apache Hadoop, Apache Spark, Apache Kafka, and others. Courses or self-learning in these technologies can be beneficial.
  • Knowledge of ETL tools like Apache NiFi, Talend, or Informatica may be advantageous.
  • Familiarity with data warehouse platforms like Amazon Redshift, Google BigQuery, or Snowflake.
  • Having knowledge of cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).
  • Basic knowledge of machine learning concepts and analytics tools may be advantageous.
  • Excellent communication skill
About the company
Who are we?
We are the first lifestyle based-genetic platform that focuses on holistic approach on medical genetics
Offering multiple tests while providing you with a comprehensive, medical-grade look into one's genome so that you may choose an Asa counselor to help decipher your result while our platform offers many online counseling with professionals such as doctors, nutritionist, and psychologist.

Vision
  • Building a Better Medical Access

Mission
  • Uncover the DataPoint behind every human.
  • Improving the healthy life expectancy and vitality of individual citizen.
  • Disseminate the importance of lifestyle awareness.


Office address
Tokopedia Tower Lt. 7 Unit B-C
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