Job has been saved to your Account Portal!

Big Data Engineer

Job Description

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.
  • Qualification

    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.

    About The BPO and IT Shared Services Company

    A subsidiary of Canada's leading telecommunications company that provides in-house call center and shared services support to their parent company and other subsidiaries. Operations in the Philippines started in August 2016 with locations in Taytay, Naga, and San Mateo.

    Big Data Engineer

    BPO and IT Shared Services Company


    Visit Profile



    Position Level

    Job Level

    Experienced Hire

    Job Type

    Hiring Until