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Data Engineer

Jakarta, Indonesia

JENIS PEKERJAAN

Full-time

Tentang Peran

  • Create and maintain optimal data pipeline architecture.

  • Assemble large, complex data sets that meet functional / non-functional business requirements processes, optimising data delivery, re-designing infrastructure for greater scalability, etc.

  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and GCP  ‘big data’ technologies.

  • Build analytics tools that utilise the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.

  • Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.

  • Create data tools for analytics and data scientist team members that assist them in building and optimising our product into an innovative industry leader.

  • Work with data and analytics experts to strive for greater functionality in our data systems.

Persyaratan

  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases

  • Experience building and optimizing ‘big data’ data pipelines, architectures and data sets

  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement

  • Strong analytic skills related to working with unstructured datasets

  • Build processes supporting data transformation, data structures, metadata, dependency and workload management

  • A successful history of manipulating, processing and extracting value from large disconnected datasets

  • Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores

  • Experience supporting and working with cross-functional teams in a dynamic environment

  • Experience with one object-oriented/object function scripting languages (Python, Java, Scala, etc)

  • Experience with big data tools: Hadoop, Spark, Kafka, Apache beam etc

  • Experience with relational SQL and NoSQL databases, including Postgres and Cassandra

  • Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.

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Kami Mempekerjakan!

 

UNGGAH CV ANDA
Opsional, maks. 5MB

Terima kasih telah mengirimkan!

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