data engineer - Work from HomeQuantrics Enterprises, Inc.

Job Description
Data Engineer
Join our award-winning IT team as we lead the way in digital, cloud, and security technology services. You will be playing a critical role in delivering innovative solutions for our biggest client, Canada's leading telecommunications, tech, and media corporation.
Home-based work setup
Performance bonuses; HMO from day 1 for you + 2
Company-sponsored training and career growth
We're looking for motivated tech leaders to join our award-winning IT team as we lead the way in digital, cloud, and security services. Our success is fueled by our people and passion, that's why we empower our Qmunity and provide a workplace where you can thrive and grow throughout your career.
We offer premium benefits, including:
Salary based on experience, miscellaneous allowances
Performance bonuses and yearly increase
HMO from day 1 for you + 2 free dependents
6 months paid maternity/paternity leave, convertible leave
Company-sponsored training and upskilling, and career growth opportunities!
We offer premium benefits, including:
Flexible work arrangement (reporting to sites in Taytay, San Mateo, Naga, or upcoming Ortigas & Makati Center)
Salary based on experience, miscellaneous allowances.
Performance bonus and yearly increase
HMO from day 1 for you + 2 free dependents
6 months paid maternity/paternity leave
Company-sponsored training and upskilling, and career growth opportunities!
Responsibilities:
Imagine having the opportunity to join an organization that is committed to your professional growth and development. At Bell, you will be a part of our amazing team where you will have an opportunity to work with other like-minded and passionate individuals in an environment where it is fun, fast paced, exciting and ever changing.
You will have an opportunity to:
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.
Minimum Required Skills & Experience:
You will be a great fit on our team if
University Degree in Software/Computer Engineering, Computer Science
3+ years of industry experience working with complex ETLs and relational databases.
Hands-on experiences working with GCP technologies like Cloud DataFlow, Cloud DataProc, Cloud Composer, Cloud DataFusion.
Big Data and unstructured data technologies including HDFS, Spark, Map Reduce, Hive, Impala, Cloudera, NoSQL, Oozie, Sqoop
Advanced knowledge and experience with SQL and relational databases such as Teradata, ORACLE, SQL Server.
Have experience working with Python and Java.
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.
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.
Qualification/ Requirements:
Experience with Big Data and unstructured data technologies including HDFS, Spark, Map Reduce, Hive, Impala, Cloudera, NoSQL, Oozie, Sqoop.
Have familiarity with Google technologies and have experience working on the framework.
Have a degree in Computer Science, Linguistics, or any similar programs.
Excellent communication skills
Proficient in MS Applications
Able to work in a night shift and flexible schedule.
If you're ready to take the next step in your career, APPLY NOW!