Senior Cloud Data Architect

1 week ago

Brisbane, Queensland, Australia beBeeDataEngineer Full time US$150,000 - US$180,000
Principal Data Engineer - Cloud">

Overview:

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We are seeking a highly skilled Principal Data Engineer to drive innovation and excellence in our data analytical solutions. As a key member of our team, you will be responsible for leading the design, development, and maintenance of end-to-end data analytical solutions using Microsoft on-premises and cloud technologies.

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Responsibilities:

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  • ">
  • Lead the design, development, and maintenance of data analytical solutions.">
  • Collaborate with clients to elicit requirements and provide guidance on data engineering best practices.">
  • Mentor junior team members and contribute to knowledge transfer within the organization.">
  • Develop innovative analytical solutions and showcase expertise through delivery and knowledge sharing.">
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Qualifications:

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  • ">
  • 5+ years of experience as a data engineer.">
  • Familiarity with analytical architectures including Data Warehouses, Data Lakes, and Data Lakehouses.">
  • Knowledge of Microsoft relational engines available – both on-premises (MS SQL Server) and on the cloud (Azure SQL, Azure Synapse Analytics Dedicated Pools).">
  • Knowledge of query and workload optimization.">
  • Knowledge of administrating and managing analytical solutions both on premises and on the cloud.">
  • Experience with NoSQL offerings on Azure (e.g. CosmosDB).">
  • Experience with setting up Data Lakes on ADLS gen 2 and Azure Synapse Analytics.">
  • Experience with using SSIS and Azure Data Factory to set up ETL jobs.">
  • Experience with setting up OLAP solutions using SSAS.">
  • Familiarity with Azure Data Catalog to manage data lake metadata.">
  • Knowledge of governance over Azure based analytical solutions including using tools such as Purview, Active Directory, Key Vault, Azure DevOps, etc.">
  • Experience with using Azure Stream Analytics to capture and analyze data in real time.">
  • Experience with setting up data warehouse solutions both on-premises (using MS SQL Server) and on the cloud (using Azure Synapse Analytics).">
  • Knowledge of Dimensional Modeling (Dimensions, Facts, Slowly Changing Dimensions, Outriggers, Role Playing Dimensions, Junk Dimensions, Degenerate Dimensions, Multi-valued Dimensions, Transactional Facts, Periodic Snapshot Facts and Accumulating Snapshot Facts).">
  • Knowledge of implementing common ETL patterns to support data warehouse workloads.">
  • Experience with using U-SQL, PolyBase and Azure Data Lake Analytics to perform federated querying.">
  • Experience with PowerBI.">
  • Familiarity with SSRS.">
  • Experience with Snowflake is required.">
  • Nice to Have: MSc in Computer Science or other relevant field; familiarity with Azure Databricks, DataOps, Azure Cognitive Services, Azure ML, MLOps, containerization tools and frameworks (Docker, Kubernetes, etc.), Azure HD Insight, Hadoop ecosystems, Azure Functions.">
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Benefits:

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  • ">
  • Salary paid in USD.">
  • Six-month career advancing opportunities.">
  • Supportive and friendly work environment.">
  • Premium medical insurance (employee + family).">
  • English language development courses.">
  • Interest-free loans paid over 2.5 years.">
  • Technical development courses.">
  • Planned overtime program (POP).">
  • Employment referral program.">
  • Premium location in Maadi.">
  • Social insurance.">
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Why Choose Us?

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We offer a dynamic and supportive work environment that fosters growth and development. Our team is passionate about delivering exceptional results and making a meaningful impact in the gaming industry.

"],

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