Senior Data Architect

3 days ago

Cassowary Coast Regional, Australia beBeeDataEngineer Full time
Lead Data Engineer

We are seeking a highly skilled and experienced Lead Data Engineer to join our team. In this role, you will be responsible for driving the design, development, and maintenance of end-to-end data analytical solutions using Microsoft on-premises and cloud technologies.

Key Responsibilities:
  • Design and develop robust data architectures to support business intelligence and analytics initiatives
  • Develop and maintain ETL processes to ensure high-quality data is available for reporting and analysis
  • Collaborate with cross-functional teams to elicit requirements and deliver data-driven insights
  • Mentor and guide junior team members in the field of data engineering
Requirements:
  • 8+ 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 No SQL offerings on Azure (e.g. Cosmos DB)
  • 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 Dev Ops, 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, Poly Base, and Azure Data Lake Analytics to perform federated querying
  • Knowledge of Power BI
  • Familiarity with SSRS
  • Snowflake Experience: Experience with Snowflake is required
  • Nice to Have: An MSc in Computer Science or other relevant field
  • Familiarity with Azure Databricks
  • Familiarity with Data Ops
  • Familiarity with Azure Cognitive Services
  • Familiarity with Azure ML
  • Familiarity with MLOps
  • Familiarity of containerization tools and frameworks (Docker, Kubernetes, etc.)
Benefits:
  • 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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