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Principal Data Engineer

2 weeks ago

مصر, Egypt Integrant Full time

Design, develop, and maintain end to end data analytical solutions using Microsoft on-premises and cloud technologies.
- Engage in activities of requirement elicitation with our clientele.
- Mentor junior members on the team in data engineering.
- Deliver analytical solutions to clients and contribute in knowledge transfer.

**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 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.
- Strong knowledge of Python
- Nice to Have:

- An MSc in Computer Science or other relevant field.
- Familiarity with Azure Databricks.
- Familiarity with DataOps
- Familiarity with Machine Learning concepts and frameworks (Scikit-Learn,
- Keras, Tensorflow, HuggingFace, etc.)
- Familiarity with Azure Cognitive Services.
- Familiarity with Azure ML.
- Familiarity with MLOps.
- Familiarity of containerization tools and frameworks (Docker, Kubernetes,
- etc.)

**Benefits**
- Why Integrant?
- Competitive compensation package
- PTO, full medical and dental coverage, etc.
- Opportunity to travel and work onsite with U.S. customers
- In-house Technical and English training programs
- Dedicated learning time (check out our 4Plus1 Program) [link]
- Interest free loans
- Flexible work schedules
- Perks: events, sponsored lunch, game area, rooftop hangout + more