Senior Data Engineer
Posted on :
15-03-2025
Employer Active
1 Vacancy
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Job Description
Description
Requirements
Benefits
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.
Requirements
- 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.
Benefits
- 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
Employment Type
Full Time
Department / Functional Area
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