Lead Data Engineer

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ImportGenius.com

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Job Summary


Job Type
Permanent

Seniority
Lead

Years of Experience
At least 3 years

Tech Stacks
ETL Amazon S3 AWS Glue Athena RedShift Apache Spark Hadoop MySQL MongoDB Python

Job Description

Currently, we're on the hunt for a talented lead data engineer to spearhead our data projects and inspire our talented data team towards unparalleled innovation.

Duties & Responsibilities
  • Use your creativity to find and extract useful insights from Global Trade Data
  • Build and maintain scalable ETL pipelines that will perform complex transformations in a parallel fashion over large-scale datasets
  • Work with stakeholders including the Executive, Product, Data, and Design teams to assist with data-related technical issues and support their needs.
  • Conduct upskill or skill transfer training from time to time (including but not limited to Junior Data Engineers)
  • Spearhead the implementation of industry-standard world-class practices in data engineering
  • Help in the implementation and scalability of machine learning techniques in the processing of trade data
  • Manage the day-to-day activities of the data engineers and conduct regular evaluation
  • Help in the implementation and scalability of machine learning techniques in the processing of trade data
  • Perform such other duties as customarily performed by a professional in other, same, or similar engagements.

Qualifications & Skills Required
Programming Language: Python
Data Processing Framework & Engine: Apache Spark
Data Stack: AWS Glue, S3, Lambda, Redshift, OpenSearch, Athena, QuickSight
Cloud Service Provider: AWS
DBMS: MySQL, MongoDB

  • Minimum 3 years of professional experience in managing/leading a team
  • Excellent written and verbal English communication skills
  • Driven with an intrinsic motivation to succeed and continuously improve yourself and your surroundings
  • Creative and able to find and build solutions to complex problems
  • Experience designing and building data warehouses and associated topologies
  • Strong experience with Relational, Non-Relational, and Columnar Databases
  • Innovative โ€œout of the boxโ€ thinking. This role is central to the companyโ€™s competitive advantage in providing unique insights using publicly available data
  • Background in Statistical Analysis
  • Ability to liaise with management and other teams
  • A basic grasp of statistics and probability will be a plus
  • Experience with Hadoop a plus

More about this role:
  • Work Arrangement: Hybrid 2x a MONTH
  • Work schedule: 7am - 4pm PHT
  • Benefits: 13th month and leave credits
  • Laptop shall be provided

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