Engineering

Senior Data Engineer

South Jakarta, Jakarta
Work Type: Full Time

Who We Are

Desty's mission is to make digital commerce available for everyone. Founded in September 2020, in the midst of the unprecedented Covid-19 pandemic, we see the urgent needs of a great tool for a fast-growing community of people who want to start their own business. Our solution is a digital platform that serves as a single online destination for creators, influencers, and merchants to promote and sell their products.  Desty currently offers two products, a landing page generator called Desty Page and Desty Store, a service that allows users to create an online store complimentary to marketplaces. 

Our founding team members are all Internet and e-commerce veterans, with extensive experience from well-known Chinese, SEA & US tech companies such as Alibaba, Google, Facebook, Gojek, Lazada, etc. We currently operate HQ offices in both Jakarta and Hangzhou, China.


At Desty, we welcome people of/from all colors, cultures, sexes, beliefs, religions and ages. We depend on the unique approaches of our team members to help us solve complex problems. We are committed to increasing diversity across our team and ensuring that Desty is a place where people from all backgrounds can make an impact.


Responsibilities

  • Create and maintain optimal data pipeline architecture.
  • Assemble large, complex data sets that meet functional / non-functional business requirements.
  • Identify, design, and implement internal process improvements: automating manual 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 AWS ‘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.

Qualification

  • 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.
  • Strong project management and organizational skills.

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