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Job Title: Lead Data Engineer

Company: E- commerce Ecosystem Pioneer

Corporate Title: Flexible Salary Range: Generous Package
Location: Singapore Date Open: Sept 2018

Responsibilities / Duties:

As a Lead Data Engineer in  the Tech Team, you'll be part of an extremely motivated and experienced group of people. You'll help drive  the business and be a key contributor. You will also become a mentor for other developers and business members.

Your daily duties will be:
  • Drive development of real-time data ingestion pipelines and batch data ingestion pipelines for analysis, machine learning, dashboards, alerts     and visualizations.
  • Drive development of new systems and tools to enable data scientists to consume and analyse data faster and more efficiently.
  • Design data warehouse and data pipelines ensuring data integrity between systems are maintained.
  • Architect, build, and launch new data models.
  • Execute code review of data engineers.
  • Mentor data engineers in the team.
  • Convert specs into to working code.
  • Mentor data engineers in the team.
  • Work and tune data warehousing and data ingest environments.
  • Script programs and APIs in Python/Go.
  • Create, monitor and manage low latency ETL and Data pipelines.

Requirements / Qualifications:

  • Data engineering experience.
  • Experience in leading more than 2 people in team.
  • Expert/Advanced level experience with Python.
  • Expert Level experience with PostgreSQL, Hadoop.
  • Deep experience in SQL tuning, tuning ETL solutions, physical optimization of databases.
  • Experience or understanding of Big Data Platforms.
  • eCommerce industry knowledge is a plus.
  • Great experience building production applications in a heterogeneous environment.
  • Experience with Multithreaded and Concurrent programming.
  • Creative and nimble with ability to overcome obstacles to solve the hardest problems
  • Ability to write well-abstracted, reusable code components (TDD / Git / Jenkins / Ansible as plus).
  • Experience in cloud computing services, relational, and non relational databases for business intelligence and analytics.