Lowongan Kerja : Senior Data Engineer

Perusahaan : Quipper

Deskripsi Pekerjaan : We are looking for a Senior Data Engineer to join our Global Product Development team. The Data Engineer will work alongside other data professionals in the Data Intelligence team to build and enhance our data infrastructure and frameworks for data mining and visualization of complex data sets. In this role, the Senior Data Engineer will also interact with engineering, marketing, sales, and other teams, in Indonesia, Philippines and Japan, to leverage data in understanding our customer needs and inform our product strategy.

Job description and responsibilities:

  • Contribute to the continual improvement of the business data platforms through their expertise, research and analysis
  • Collaborate with a cross functional team to resolve data quality, data gathering and processing speed performance and operational issues
  • Involved in development activities for structured and unstructured data including ingestion, parsing, integration, auditing, logging, aggregation, normalization, and error handling
  • Collect, manage, analyze & visualize complex datasets
  • Build, test and deploy data pipeline architectures
  • Support development and maintenance of a data pipeline and data warehouse
  • Support troubleshooting data pipeline and data warehouse issues
  • Involved in creating a learning roadmap wiki and curriculum for Data Engineers
  • Schedule and facilitate data team knowledge sharing events
  • Mentor and coach Data Engineers


  • At least 5 years of related working experience in a Data Engineer role
  • Expertise:
  • General understanding of ETL/ELT frameworks, error handling techniques, data quality techniques and their overall operation
  • Generally proficient in performing data transformations via scripting, stored procedures, or an ETL framework
  • Proficiency with data ingest and ETL tools (i.e. KNIME, Xplenty, Stitch, Alooma, Talend)
  • Proficiency with database systems including RDBMSes (PostgreSQL) and NoSQL document databases (MongoDB)
  • Proficiency with big data pipelines and data warehousing architectures
  • Familiarity with data modeling and unstructured data
  • Familiarity with data APIs
  • Familiarity with big data analytics platforms (Google BigQuery)
  • Familiarity with object oriented/object function scripting languages (Python, Go, etc)
  • Ownership:
  • Ensure continuous updates to the data technology stack
  • Personal Development:
  • Provide recommendations to colleagues on gaining or improving skills in their area of expertise
  • Communication:
  • Able to express their ideas and problems to colleagues clearly in English
  • Able to explain data concepts to a non-technical audience
  • Able to engage in and mediate productive discussions
  • Critical Thinking:
  • Able to understand tradeoffs and benefits of different data technology options to make good recommendations
  • Able to guide technical discussions based on their depth of knowledge
  • Uses insights from their own expertise and from business partners to make good technical decisions and tradeoffs on data projects
  • Uses keen understanding of data structures to build appropriate data models for the purpose
  • Uses knowledge of data technology concepts to select an appropriate data workflow and pipelines
  • Teamwork:
  • Able to bridge discussions within the data intelligence team (among data professionals) to effectively collaborate on data projects
  • Able to support colleagues in delivering goals both within the data team as well as in a cross functional team

Why apply to us?

  • HMO upon regularization with additional 3 dependent (fully covered by the Company)
  • 12 VL (10VL can be carried over to following year), Unlimited SL for 1 year, Additional benefit to special leave per event (Marriage, paternity, death, hospitalized family member)
  • Company-issued item (laptop to be provided upon regularization)
  • Promotion opportunities
  • Opportunity to meet and train abroad
  • Free location policy (support for working temporarily from global offices)
  • Government mandated benefits
  • Work conditions : Remote work setup

Are you interested and passionate to revolutionize education?
Apply now and be a Distributor of Wisdom.
Send your application from the button below.

Perkiraan Gaji :

Lokasi : Jakarta

Tanggal : Tue, 04 Jan 2022 04:49:54 GMT

Kirim Lamaran!