Chief Data Solutions Architect

2 weeks ago

Brisbane, Queensland, Australia beBeeDataEngineer Full time US$120,000 - US$150,000
Principal Data Engineer

We are seeking an exceptional data professional to join our team as a Principal Data Engineer. This role will involve leading the design, development and maintenance of end-to-end data analytical solutions using Microsoft on-premises and cloud technologies.

Responsibilities:
  • Lead the design, development, and maintenance of end-to-end data analytical solutions using Microsoft on-premises and cloud technologies.
  • Engage in collaborative requirement elicitation activities with clients.
  • Mentor and guide junior team members in the field of data engineering.
  • Deliver innovative analytical solutions to clients and contribute to knowledge transfer within the organization.
Qualifications:
  • 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.
  • Knowledge of 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.
  • 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.
  • Snowflake Experience: Experience with Snowflake is required.
  • Nice to Have: MSc in Computer Science or other relevant field.
  • Familiarity with Azure Databricks.
  • Familiarity with DataOps.
  • Familiarity with Azure Cognitive Services.
  • Familiarity with Azure ML.
  • Familiarity with MLOps.
  • Familiarity of containerization tools and frameworks (Docker, Kubernetes, etc.).
  • 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.
Benefits:
  • Salary paid in USD.
  • 6-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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