We're on the lookout for exceptional individuals to join our team as Lead Data Engineers. As a part of our team, you'll be driving change and making a significant impact in the gaming industry.
- 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 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.
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 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.
- 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.)
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