Azure Data Engineer

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Arus Info
Cyberjaya
MYR 200,000 - 250,000
Be among the first applicants.
Yesterday
Job description

Criteria:

  • Notice:- Not more than 45 days
  • CTC:- MYR 8,000 to 10,000 per month
  • Should not have any accepted offer on hand
  • Should be willing to sign an agreement to pay 2x monthly salary in the event of offer-drop. The company will compensate 4x monthly salary, if we are unable to honor our offer.

Please do not apply, if you can't meet any of the above criteria

Responsibilities:

  • Active member of the data engineering team
  • Conduct full lifecycle analysis to include requirements, activities, and design
  • Build data flows for data acquisition, aggregation, and modelling, using both batch and streaming paradigms
  • Development of high-quality code for the core data stack including data integration hub, data warehouse and data pipelines under Azure services.
  • Define new data collection and analysis processes.
  • Support and optimize data tools and associated cloud environments for consumption by downstream systems, data analysts and data scientists
  • Ensure code, configuration and other technology artifacts are delivered within agreed time schedules and any potential delays are escalated in advance
  • Collaborate across developers as part of a SCRUM team ensuring collective team productivity
  • Participate in peer reviews and QA processes to drive higher quality

Experience and Skills:

  • 4-6 years professional experience as a data engineer, software engineer, ETL Developer or related role.
  • High level of T-SQL and data modelling skills in MS SQL Server or Azure SQL environment
  • 3+ years of relevant experience building complex data pipelines using Azure Data Factory, Azure Databricks and MS Fabric
  • Proven experience with all aspects of the Data Pipeline (Data Sourcing, Transformations, Data Quality, Etc…).
  • Experience with Azure DevOps including test and build automation tools and processes
  • Experience with relational and dimensional database modelling (Relational, Kimball, Data Vault)
  • Exposure to commercial real estate investment domain will have an edge
  • Experience with Power BI would be an advantage

Personal Attributes:

  • Positive, Proactive and Committed
  • Strong communications skills (verbal and written) and outstanding interpersonal skills
  • Demonstrate a strong work ethic with willingness to do what it takes to get the job done
  • Exceptional active listening skills
  • Team player with focus on team success
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