Big Data Engineer - Dev 3 (San Mateo)

Philippines

Quantrics Enterprises Inc.

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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:

 

  • Hybrid 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

  • Support data pipelines within and BI Hadoop production environments
  • Support and troubleshoot technical problems within BI GCP and BI Hadoop environments
  • Share technical expertise with team and provide recommendations for best practices
  • Support production processes within BI teams
  • Support outages, delays & major deployments within the BI environment

Qualifications

COMPETENCIES

Core Competencies (Must-have Competencies)

  • At least 3 years of experience working with complex ETLs and relational databases
  • At least 3 years of experience working with SaaS and BI 360
  • At least 3 years of experience working with Big Data and unstructured data technologies including HDFS, Spark, Map Reduce, Hive, Impala, Cloudera, NoSQL, Oozie, Sqoop
  • At least 3 years of experience working with Python and Java
  • Advanced knowledge and experience with SQL and relational databases such as Teradata, ORACLE, SQL Server

 

Complementary Competencies (Good-to-have Competencies)

  • Experience with Google technologies and have experience working on the framework
  • Experience working with GCP technologies like Cloud DataFlow, Cloud DataProc, Cloud Composer, Cloud DataFusion
  • Demonstrated analytical and problem-solving skills and experience in developing Big Data ingestion frameworks or experience in working with data ingestion tools
  • Able to troubleshoot code written by other people, including understanding the business logic implemented and ensuring the code is optimal
  • Proficient in MS Applications
  • Excellent communication skills
  • Able to prioritize, multitask and execute tasks in a high-pressure environment
  • Strong verbal and written communication skills is required
  • Collaborative spirit to share learnings and knowledge with peers

 

QUALIFICATIONS

Educational Qualifications

  • Bachelor’s Degree in Computer Science, Linguistics, or any similar programs

 

Work Conditions

  • Hybrid Setup -  Reporting once a month onsite in San Mateo, Rizal
  • Amenable to work on a Night shift (8 PM-5 AM and 10 PM-7 AM)
  • Amenable to work on a Flexible schedule (Monday-Friday and Tuesday-Saturday)
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Agile Big Data Computer Science Dataflow Data pipelines Dataproc ETL GCP Hadoop HDFS Java Linguistics Map Reduce NoSQL Oozie Oracle Pipelines Python RDBMS Spark SQL Teradata Unstructured data

Perks/benefits: Career development Flex hours Parental leave Startup environment

Region: Asia/Pacific
Country: Philippines

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