Distinguished Data Architect

5 days ago

Brisbane, Queensland, Australia beBeeDataEngineer Full time US$125,000 - US$175,000

Lead Data Engineer Job Opportunity

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We are seeking an experienced Lead Data Engineer to drive change and make a significant impact in the gaming industry.

The successful candidate will lead the design, development, and maintenance of end-to-end data analytical solutions using Microsoft on-premises and cloud technologies.

Responsibilities include engaging in collaborative requirement elicitation activities with valued clientele, mentoring junior team members, and delivering innovative analytical solutions to clients.

The ideal candidate will have 8+ years of experience as a data engineer and familiarity with analytical architectures including Data Warehouses, Data Lakes, and Data Lakehouses.

Required skills and qualifications:

  • Familiarity with 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.
  • Familiarity with NoSQL offerings on Azure (e.g. CosmosDB).
  • Knowledge of setting up Data Lakes on ADLS gen 2 and Azure Synapse Analytics.
  • Knowledge of using SSIS and Azure Data Factory to set up ETL jobs.
  • Knowledge of setting up OLAP solutions using SSAS.
  • Familiarity with Azure Data Catalog to manage data lake metadata.
  • Familiarity with Azure HD Insight.
  • Familiarity with the Hadoop ecosystems, including tools like Hive, Spark, and Kafka.
  • Familiarity with Azure Functions to perform lightweight transformations.
  • Knowledge of governance over Azure based analytical solutions including using tools such as Purview, Active Directory, Key Vault, Azure DevOps, etc.
  • Knowledge of using Azure Stream Analytics to capture and analyze data in real time.
  • Knowledge of 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.
  • Knowledge of using U-SQL, PolyBase, and Azure Data Lake Analytics to perform federated querying.
  • Knowledge of PowerBI.
  • Familiarity with SSRS.

Benefits:

  • 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.

We offer a competitive salary and excellent benefits package.

Contact us to learn more about this exciting opportunity.

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