Data Engineer

at  OHMYHOME PTE LTD

Philippines, , Philippines -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate18 Jul, 2024Not Specified18 Apr, 20241 year(s) or aboveComputer Science,Machine Learning,Pandas,Data ScienceNoNo
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Description:

JOB DESCRIPTION:

  • Assemble and collect data sets that meet functional and non-functional business requirements
  • Identify, design & implement internal process improvements, automate manual processes, and optimize data delivery, and infrastructure for greater scalability.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a variety of sources using SQL, APIs, and cloud services technologies.
  • Build tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics
  • Build tools for analytics and data team members that assist in building and optimizing the product into an innovative leader
  • Work with data and analytics experts to strive for greater functionality in our data lake and warehouse systems
  • Work with cross-functional departments to understand their data needs and requirements and build tools to assist them with their analytics tools

QUALIFICATIONS:

  • Bachelor in Computer Science, Engineering, or relevant field; Graduate degree in Data Science or other quantitative field is preferred
  • 1-3 years experience as a Data Engineer
  • Hands-on experience working with SQL-based technologies
  • Knowledge of Python programming
  • Database System Design
  • Experience with GCP services
  • Analytics tools (Google Analytics/Tableau)
  • Basic Knowledge of Machine Learning
  • Understand Python framework (Pandas, scikit-learn, psycopg2 libraries)

How To Apply:

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Responsibilities:

Please refer the Job description for details


REQUIREMENT SUMMARY

Min:1.0Max:3.0 year(s)

Information Technology/IT

Analytics & Business Intelligence

Software Engineering

Graduate

Data science or other quantitative field is preferred

Proficient

1

Philippines, Philippines