Senior Data Engineer

4 weeks ago


Singapore MINDEN INTERNATIONAL PTE. LTD. Full time
Roles & Responsibilities

Who we are:

minden.ai is a technology venture founded by Temasek in strategic partnership with DFI Retail Group and coalition partners BreadTalk Group, DBS Bank, PAssion Card, Mandai Wildlife Group, Singtel, FoodPanda, GoJek and Great Eastern. We are on a mission to redefine the engagement between brands and consumers in Southeast Asia.


The way we work:

At Minden, we treat each other with respect. We embrace authenticity and transparency. We pride ourselves on agility and innovation, and believe in embracing continuous learning and self-improvement. We strive to be the preferred employer by providing comprehensive benefits, a dynamic and exciting working environment, work-life balance and effort recognition.

We are seeking for individuals with grit and passion, an insatiable intellectual curiosity and a heart for people to amplify effectiveness as a team.


As a Senior Data Engineer, you will:

  • Contribute to the design and implementation of a scalable and reliable data platform based on the data mesh principles with modern data stack.
  • Develop and maintain efficient data pipelines to ingest, transform, and store data from various sources.
  • Collaborate with engineers across domains to understand their data needs and develop self-service data access tools and APIs.
  • Contribute to the development and improvement of internal data products
  • Partner with the data science and analytics teams to ensure their data needs are met.
  • Follow and contribute to the continuous improvement of data standards and best practices.

What you should have:

  • Bachelor's degree in Computer Science, Data Science, or related field
  • 4+ years of experience as a Data Engineer or similar role. Additional experience as backend software engineer is preferred
  • Proficiency in programming languages like SQL, Python, Java, or Scala, and experience with big data processing frameworks like Apache Spark.
  • Experience with dimensional modeling, data warehouse and data lake.
  • Experience with modern data stack (eg. Snowflake, dbt, airflow, etc) is a plus.
  • Understanding of data mesh principles and concepts is beneficial.
  • Experience working in an ambiguous, low control yet fast paced startup environment

Tell employers what skills you have

Machine Learning
PySpark
Scala
Big Data
Pipelines
Hadoop
ETL
Transparency
Data Engineering
SQL
Python
Data Science
Java
Wildlife
Data Analytics
Databases
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