Head of Data Engineering

  • Full-time

Company Description

Well known US based Fintech company. Currently we have 150 employees in KL office.

Job Description

  • Analyze large data sets, some of them messy, to answer and solve real-world business problems while charting paths towards data cleanup and preventing data from becoming messy.
  • Identify requirements and develop data delivery solutions.
  • Assist with reviewing and interpreting business and technical requirements with a focus on data objectives of the product.
  • Lead and facilitate the collaboration of highly talented engineers while striving to help them build their skills and achieve their career goals.
  • Support data flow and ETL processes from end to end for projects and initiatives including troubleshooting of data issues, integrity checks, data model design, querying of data, and performance resulting from data issues.
  • Conduct trainings over the data systems used by the company for the employees. Specifically, create training programs for new hires on various reports and models available in the data visualization tools that are used.
  • Support members of various teams to determine database structural requirements by analyzing their applications and client operations.

Qualifications

  • NoSQL, Relational databases and Presto (We use MongoDB, MySQL, PostgreSQL, ElasticSearch)The AWS stack combined with technologies such as Java, Python, Spark, and Kafka.
  • Building and shipping large-scale engineering products and/or infrastructure
  • Familiarity with data science techniques and frameworks.
  • Collaborating with a diverse set of engineers, data scientists and product managers
  • Deep expertise in data engineering and data processing at scale. Requires a focus on the development of pipelines for the creation of data lakes to enable exploration as well as machine learning model training, deployment and scoring at massive scale.
  • Ability to create structure out of ambiguity and set direction for your teams.
  • Scalable data architecture, fault-tolerant ETL, and monitoring data quality in the cloud (We use AWS)
  • Demonstrated skills in detailed-oriented delivery management. Results oriented and with a strong customer focus.

Additional Information

The Role

As the Head of Data Engineering, you will drive technical and architectural planning as well as contributing as a senior developer while interacting with data scientists, software engineers, and analysts as we build and scale the world's most rewarding program for financial wellness.