PCCW

Data Analytics Engineer

PCCW

full-time

Posted on:

Location Type: Office

Location: Hong Kong • 🇭🇰 Hong Kong

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Job Level

Mid-LevelSenior

Tech Stack

DockerETLHadoopJavaOraclePythonSpringSpring BootSpringBootSQL

About the role

  • Translate Data Pipeline and Analytics requirements into analytics model and data pipeline design, guide and direct the design by working closely with a range of stakeholders including the rest of the architecture team, external developers, data consumers, data providers, and internal/external business users.
  • Contribute to use case development, e.g. workshop to gather and validate business requirements. Align expectation from different stakeholders to streamline, expedite and solve any complaints and queries from clients. Experience of Project Management and Business Transformation in Financial and Insurance Industries is an advantage.
  • Model and design the ETL pipeline data structure, storage, integration, integrity check and reconciliation. Standardize all exception control and ensure good traceability during troubleshooting.
  • Document and write technical specifications for the function and non-functional requirements of the solution.
  • Design data model/platform allowing managed growth of the data model to minimize risk and cost of change for a large-scale data platform.
  • Analyze new data sources with structured Data Quality Evaluation approach and work with stakeholders to understand the impact of integrating new data into existing pipelines and models.
  • Bridge the gap between business requirements and ETL logic by troubleshooting data discrepancies and implementing scalable solutions.

Requirements

  • Bachelor's degree (or higher) in project management, business management, mathematics, statistics, computer science, engineering, or related field.
  • Strong technical understanding of data quality metrics, data modelling, design and architecture principles and techniques across master data, transaction data and data warehouse.
  • Experience with Stored Procedure (e.g. Oracle PL/SQL) and SQL DDL/DML.
  • Hadoop, Python, Java Spring boot, docker or OCP skill is advantage.
  • Experience in Power BI tool with usage of data objects, report objects, and service objects in different scenarios.
  • Experience in Star Scheme and Snowflake design and dimensional modelling.
  • Knowledge with Power BI and/or SSAS Row level security.
  • Experience to use JSON API data service for rendering Power BI report.
  • Knowledge with Power Query M script is an advantage.
  • Strong Power BI skill with SSAS multi-dimensional model as data source.
  • Migration of Power BI data model to SSAS data model best practice.
  • SSAS model change version control and deployment across different testing environment and production.
  • Performance monitoring and management of Power BI servers and SSAS servers.
  • Proficient in both spoken and written English and Chinese (Mandarin/Cantonese).
  • Proactive with good problem solving and multitasking skills.
Benefits
  • Professional development opportunities

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data pipeline designETL pipelinedata modellingdata quality metricsStored ProcedureOracle PL/SQLSQL DDLSQL DMLHadoopPython
Soft skills
project managementbusiness transformationproblem solvingmultitaskingcommunicationstakeholder managementanalytical skillsdocumentationcollaborationtroubleshooting
Certifications
Bachelor's degreeMaster's degree