Data Engineer

Jakarta, Indonesia

JOB TYPE

Full Time

About the Role

  • Create and maintain optimal data pipeline architecture

  • Assemble large, complex data sets that meet functional / non-functional business requirements

  • processes, optimizing 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 utilize 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 optimizing our product into an innovative industry leader

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

Requirements

We are looking for a savvy Data Engineer with 3-6 year experience to join our growing team of analytics experts. You will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up.

  • 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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