Data Engineer / Architect (Work from Home)

Philippines

Quantrics Enterprises Inc.

Quantrics home.

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Overview

Drive innovation in cybersecurity, software development, and big data technology as part of our award-winning IT team. You can play a critical role as part of a global agile team for Bell Canada, Canada’s largest telco, media, and tech company.

 

We know our success is fueled by our people, so we empower our Qmunity and provide a workplace where you can flourish and grow. We offer premium benefits, including:

 

  • Home-based setup
  • Miscellaneous allowances, performance-based bonus, and yearly increase
  • HMO from day 1 for you + 2 free dependents
  • 6 months paid maternity; 15 days paternity leave
  • Company-sponsored training and upskilling, and career growth opportunities!

Responsibilities

  • Lead the design and implementation of robust and scalable pipelines, ETL processes and data integration solutions. 
  • Collaborate with Solution Architects, BI Developers, Data analysts and stakeholders to understand their data requirements, translate business needs  into technical specifications. 
  • Identify and resolve complex data-related issues, performance bottlenecks, and data pipelines failures. 
  • Evaluate the performance of existing processes and optimize whenever required

Qualifications

Core Competencies (Must-have Competencies)

  • 3+ years of experience in development using Python 
  • 3-5+ years of experience in data integration. Must have solid understanding of data modeling, Data warehousing concepts, and data integration techniques along with ETL development. 
  • 3+ years of experience in Web APIs development 
  • 3-5+ years of experience in SQL and Data Modelling 
  • 1+ year of experience in data level security 

Complementary Competencies (Good-to-have Competencies)

  • SAP BW, MicroStrategy

QUALIFICATIONS

Educational Qualifications

  • Bachelor’s Degree in Computer Science, Information Technology, Engineering, or related fields

Work Conditions

  • Work from Home  Set-up
  • Mid-Shift: 4:00 PM – 1:00 AM Manila 

 

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Agile APIs Big Data Computer Science Data pipelines Data Warehousing Engineering ETL Pipelines Python Security SQL

Perks/benefits: Career development Parental leave

Regions: Remote/Anywhere Asia/Pacific
Country: Philippines

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