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    Data Engineers - Taguig, Pilipinas - John Clements Consultants Inc

    John Clements Consultants Inc
    John Clements Consultants Inc background
    Buong oras Administrative
    Paglalarawan
    Job Role : Data Engineers

    The Data Engineer is primarily responsible for participating in the design, development, and implementation of solutions for the data warehouse.

    Responsibilities :
    • Assembling large, complex sets of data that meet non-functional and functional business requirements
    • Identifying, designing, and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processe
    • Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using GCP and SQL technologies
    • Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics
    • Working with stakeholders including data, design, product, and executive teams and assisting them with data-related technical issues
    • Participates in unit and system testing and follow existing change control processes for promoting solutions to production system, escalating issues as needed.
    • Design, develop, review, test, and deploy using CICD to facilitate the data warehouse solutions.
    • Identifies data integrity issues and analyzes data and process flows for process improvement opportunities.
    Qualifications :
    • Bachelor's degree graduate
    • At least 2-3 years of experience for Data Engineers
    • DevOps experience, cloud platform experience as data warehousing data engineer, strong ETL and SQL programming knowledge. Strong scripting knowledge preferably Phyton
    • Strong hands-on data warehousing development experience: Teradata BTEQ, Oracle PL/SQL, SQL Server T-SQL or Netezza can also be considered if they are willing to work hard and learn Google Big Query
    • Experience in building data models for data warehouse
    • Ability to build and optimize data sets, 'big data' data pipelines and architectures
    • Ability to build processes that support data transformation, workload management, data structures, dependency, and metadata
    • Development experience with cloud-based modern data warehouses such as Google Big Query or equivalent.
    Hybrid set-up (2x a week onsite)/ Night shift schedule.

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