Principal Data Engineer Integrant Inc

Posted on 17 Mar

Experience

6 - 8 Years

Job Location

Egypt - Egypt

Education

Bachelor of Science(Computers)

Nationality

Any Nationality

Gender

Not Mentioned

Vacancy

1 Vacancy

Job Description

Roles & Responsibilities


  • 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.

  • 6+ 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.
  • 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.)
  • 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.

    • Desired Candidate Profile


    Company Industry

    • Telecom
    • ISP

    Department / Functional Area

    • IT Software

    Keywords

    • Principal Data Engineer

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    Integrant Inc

    https://apply.workable.com/integrant/j/0102AF9190/

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