Data Engineering Lead

Job Category: Technology
Job Type: Permanent
Date posted: 11 Mar 2022
Application expiry: 16 Apr 2022

About Validus Group Tech Hub

Validus is a leading SME Financing Fintech platform in Southeast Asia, based in Singapore and operating in 4 markets – Singapore, Vietnam, Indonesia, and Thailand. Through the platform, Validus Group has funded more than $1billion, as well as have scaled 300% YoY basis (even during the Covid-19 pandemic situations). Validus has won multiple awards in Fintech categories – Top Fintech FI in 2020 Singapore Fintech Festival, Global Economics Award, Global Banking & Finance Award,Top Fintech platform in SME category, Top CIO50 and others.

 

Data Engineering Lead

Work together with a team of highly motivated individuals with great passion in the Fintech space. It will be a startup environment, where things are extremely fast-paced, filled with many exciting challenges and opportunities to learn and adopt new technologies. Come join us if you are up for a challenge and want a rewarding experience and you are passionate about technology.

 

Roles and Responsibilities

  • Serve as a leader and mentor for our Data Engineering team
  • Work with other departments (i.e. Management, Finance, Product), data analysts, and data scientists to support decision making and growth
  • Build and drive DataOps culture
  • Play a key role in supporting our group-level data engineering function
  • Work together with the team to set long-term direction, roadmaps, and standards for our data engineering team
  • Maintain and evolve our data architecture to support ever-growing business needs

 

Requirements

  • At least 2 years experience managing data engineering team
  • At least 5 years experience in data engineering
  • Excellent written and verbal communications skills
  • Understands DataOps culture and how to build one
  • Experienced with setting up projects from inception
  • Experience with designing and building cloud-based data architectures
  • Strong technical knowledge of python and SQL
  • Familiarity with any of the following will be a bonus: DBT, Snowflake, Google Big Query

 

Annexure I

Skill Matrix

  • Data Engineering Frameworks
  • Data Pipeline (Kafka / Others)
  • Python
  • Spark
  • ETL
  • SQL Scripting, Designing
  • MySQL Programming
  • NoSQL (Postgres, MongoDB, Others)
  • Linux/ Bash scripting
  • AWS (S3, RDS, Kinesis, Glue etc)
  • DevOps / CICD
  • Agile (Jira, Confluence)
  • Airflow
  • Communication
  • Snowflake
  • Java
  • Kafka
  • Elastisearch
  • ML/DL

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