Lowongan Kerja Tokopedia

1. Software Engineer

Job Description:

  1. Provide technical leadership in a fast-moving, data-driven environment.
  2. You will be deeply engaged in the full development lifecycle designing, developing, testing, deploying, maintaining, monitoring and improving software.
  3. You will deploy code daily and use data to drive our decisions, while delivering software and analytics to consumers and dealers.
  4. You will own your projects and collaborate with fellow engineers and product partners as you solve interesting problems
  5. Write well formatted modular code
  6. Compile and integrate changes with the project
  7. Implement unit tests and functional tests for their tasks
  8. Convert given high level software design to low level software design
  9. Use suitable data structures
  10. Perform, debug and fix bugs, competency in 1 programming language

Job Requirements:

  1. B.S. degree in Computer Science or related field (preferred)
  2. 1+ years of software development experience
  3. Expertise with Java or similar object-oriented languages
  4. Strong understanding of MySQL or similar relational databases
  5. Understanding of how to build high volume, distributed back-end services with latest technologies
  6. Experienced with a modern Javascript framework like React.js is a plus
  7. Experienced with building scalable websites (e-commerce) or large-scale applications
  8. Possess strong debugging skills.
2. Data Engineer (Data Ingestion)

Job Description:

  1. Build ingestion pipeline from various sources (Databases, logs, and events)
  2. Maintain core platforms which ingest TB of data/day (billion of rows/day)
  3. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  4. Do research on best practices and new technology surrounding Data Engineering
  5. Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs.
  6. Mentor junior member of the team to ensure everything is up to industry standard

Job Requirements:

  1. Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
  2. Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  3. Strong analytic skills related to working with unstructured datasets.
  4. Build processes supporting data transformation, data structures, metadata, dependency and workload management.
  5. A successful history of manipulating, processing and extracting value from large disconnected datasets.
  6. Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores is a plus.
  7. Strong project management and organizational skills.
  8. Experience supporting and working with cross-functional teams in a dynamic environment.
3. Data Engineer Lead

Job Description:

  1. Analyze the requirement to improve the Data Discovery Platform usage
  2. You will implement scalable architecture and work on a committed team contributing to robust projects
  3. You’ll lead a team of engineers to design, develop, and ship product features and improvements
  4. You’ll actively work with the other Data Teams in Tokopedia to enable them to be able to discover data asset in Tokopedia
  5. People management responsibilities in terms of mentoring, teaching hard and soft skills, and managing their career path
  6. Nurture and manage the team members to achieve team goals
  7. Assist the team in day-to-day problems such as debugging issues and others
  8. Review and approve the detailed designs and changes

Requirements:

  1. Experience in working with data engineering or data platform
  2. Experience in Big Data is plus
  3. Strong sense of ownership and self-starter who is target-driven and motivated
  4. Experience in leading a team of engineers; you have the ability and interest to teach others best practices and mentor less experienced

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