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Posted 3y ago

Senior Microsoft Focused Data Engineer

@ TSK
Egypt
RemoteFull Time
Responsibilities:Design pipelines, Develop warehouses, Maintain data quality
Requirements Summary:5+ years as a data engineer; proficient in Azure Synapse, Data Factory, Databricks, SQL; Python/Scala; data modeling, ETL/ELT, data warehousing, data lake; cloud/hybrid architectures; strong analytical and communication skills.
Technical Tools Mentioned:Azure Synapse Analytics, Azure Data Factory, Azure Databricks, Azure SQL Database, SQL, Python, Scala, Apache Spark, Power BI
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Job Description



This is a remote position.




We are looking for a senior data engineer who has extensive experience in designing and implementing data solutions using Microsoft technologies. You will be responsible for building and maintaining data pipelines, data warehouses, data lakes, and data analytics platforms using Azure Synapse Analytics, Azure Data Factory, Azure Data-bricks, Azure SQL Database, and other Microsoft tools. You will also work closely with data scientists, business analysts, and stakeholders to understand their data needs and deliver high-quality data products.


Responsibilities:


Design, develop, test, and deploy scalable and reliable data solutions using Microsoft technologies

Evaluate the performance of current data solutions and recommend improvements

Ensure data quality, security, privacy, and compliance with industry standards and best practices

Troubleshoot and resolve data issues and provide technical support

Collaborate with cross-functional teams to understand business requirements and provide data insights

Research and learn new technologies and trends in the data domain

Requirements



Bachelor’s degree in computer science, engineering, or related field

5+ years of experience as a data engineer or similar role

Proficient in Microsoft Azure Synapse Analytics, Azure Data Factory, Azure Databricks, Azure SQL Database, and other Microsoft data services

Experience in SQL, Python, Scala, Spark, Power BI, and other data tools and languages

Experience in data modeling, ETL/ELT, data warehousing, data lake, and data analytics

Experience in cloud and hybrid data architectures and solutions

Strong analytical, problem-solving, and communication skills

Ability to adapt and learn new technologies per business requirements


Benefits


Benefits:


Competitive salary and bonus

Flexible work hours and remote options

Health insurance and wellness programs

Retirement savings plan and stock options

Learning and development opportunities

Employee recognition and rewards