Senior Data Engineer

Were on the lookout for exceptional individuals to join our team as Senior Data Engineers. As a part of our team youll be driving change and making a significant impact in the gaming industry.

• Lead the design development and maintenance of endtoend data analytical solutions using Microsoft onpremises and cloud technologies.
• Engage in collaborative requirement elicitation activities with our valued clientele.
• Mentor and guide junior team members in the field of data engineering.
• Showcase your expertise by delivering innovative analytical solutions to our clients and contributing to knowledge transfer within the organization.

• 4 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 onpremises (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 onpremises (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 Multivalued Dimensions Transactional Facts Periodic Snapshot Facts and Accumulating Snapshot Facts).
• Knowledge of implementing common ETL patterns to support data warehouse workloads.
• Knowledge of using USQL 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:

• An 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.

• Salary paid in USD
• Sixmonth career advancing opportunities
• Supportive and friendly work environment
• Premium medical insurance employee family
• English language development courses
• Interestfree loans paid over 2.5 years
• Technical development courses
• Planned overtime program (POP)
• Employment referral program
• Premium location in Maadi
• Social insurance

Required Experience:

Senior IC