Data Engineer

Company:
Location: Singapore

*** Mention DataYoshi when applying ***

SALARY

Negotiated

Equity
INDUSTRY

Analytics | Big Data

JOB TYPE

Full-Time

SKILLS

Ruby on Rails | Ruby | PostGres | Cassandra | Redshift | Spark | Hadoop | Python

JOB DESCRIPTION

You are a go-getter & dreamer, wanting to join a community of extremely talented, forward-thinking & diverse engineers in the industry & region. You gain happiness in building & scaling resilient, robust, well-performing, and end-to-end tested distributed systems that can power the most business-critical applications. You want to learn, work with, and leverage cutting-edge open-source technologies. The ideal candidate has experience with and/or history of contributions to Python, Hadoop, Spark, Redshift, Cassandra, PostGREs, Ruby (on Rails) or similar technologies. You have experience in distributed systems, database internals, or performance analysis.


JOB RESPONSIBILITY

As a Data Engineer on the Analytics team, you will be the “source of truth” for Perx’s most fundamental data – such as end-customer engagement and client usage data – along with core metrics such as daily (DAU) and monthly active users (MAU).


Alongside designing & implementing the plumbing & infrastructure that will power the Analytics frameworks, you will also help shape the company’s decision to use bleeding-edge data technologies and features, working directly with our infrastructure team to integrate them into the services you design at scale.

In doing so, you will help empower the Perx team to provide insights to hundreds of marketing analysts to get insights into millions of their end customers’ interactions.

JOB REQUIREMENT

  • Bachelor’s degree in a quantitative field e.g. Computer Science, Statistics, Mathematics or S.T.E.M related fields. Master’s degree would be a plus.


  • With at least 2.5 years of hands-on experience in Data warehouse, BI or Data analyst roles


  • Strong knowledge of database structure systems, ETL/ELT pipeline concepts and OLTP/OLAP concepts.


  • Deep understanding of data structures and common methods of Data Transformation, Quality Control and Consistency, and Query Optimization.


  • Hands-on development with (one of) Python, Spark or other relevant distributed computing languages. Experience with Ruby is a plus.


  • Experience with building data pipelines using SQL on cloud infrastructure (T-SQL, Postgres, MySQL).


  • Experience with Data Visualization/Analytical tools such as QuickSights Power BI or Tableau,.


  • Working experience with Linux/Unix Systems and AWS Cloud Environment

*** Mention DataYoshi when applying ***

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