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Job Summary
Lead Data Engineer
Primary Skills
AKS Event Hub Azure DevOps Cosmos DB Azure Functions
Specialization
Azure Data Engineering Advanced: Senior Data Engineer
Job requirements
Job Description
We are seeking a Senior Data Engineer with strong handson expertise in Azure Data Platform and Microsoft Fabric to design build and scale modern enterprisegrade data solutions. The role involves working on endtoend data engineering pipelines lakehouse architectures and analyticsready data models using Azure and Fabrics unified analytics capabilities.
Key Responsibilities
Design develop and manage endtoend data pipelines using Microsoft Fabric (Data Pipelines Lakehouse Warehouse OneLake) and Azure Data Factory
Build scalable data transformation and processing solutions using Fabric Notebooks PySpark Python and SQL
Implement Lakehouse and Medallion Architecture (Bronze Silver Gold) to support analytics and reporting workloads
Develop and optimize SQL-based solutions including TSQL stored procedures and performancetuned queries
Integrate data from multiple sources including RDBMS APIs files streaming sources and cloud storage
Work with ADLS Gen2 Blob Storage and OneLake for structured and unstructured data management
Enable analytics and reporting by integrating Fabric datasets with Power BI
Implement data quality checks monitoring logging and errorhandling mechanisms
Support migration and modernization initiatives from ADF / Databricks to Microsoft Fabric where applicable
Ensure adherence to data governance security lineage and compliance standards (Microsoft Purview exposure preferred)
Collaborate closely with architects analysts and business stakeholders to translate requirements into scalable data solutions
Provide technical guidance and mentoring to junior engineers
Required Skills & Expertise
Microsoft Azure & Fabric
Microsoft Fabric (Data Pipelines Lakehouse Warehouse OneLake)
Azure Data Factory (ADF)
Azure Data Lake Storage Gen2 (ADLS G2)
Azure Blob Storage
Programming & Query Languages
SQL (Basic & Advanced)
TSQL
Stored Procedures
Python
PySpark / Spark SQL
Data Engineering & Architecture
ETL / ELT Fundamentals
Modern Data Platform Concepts
Data Warehousing & Lakehouse Architecture
Data Modeling Fundamentals (Star / Snowflake schemas)
Incremental loads CDC and watermarking techniques
Monitoring & Governance
Pipeline monitoring & performance optimization
Azure Monitoring / Fabric monitoring tools
Microsoft Purview (Data lineage & governance good to have)
Good to Have
Experience with streaming or near realtime processing
Exposure to Databricks in hybrid AzureFabric environments
Excellent communication and stakeholder management skills
Ability to work independently in fastpaced delivery environments
Ownership mindset with focus on quality and reliability
Why Join Us
Work on cuttingedge Azure & Microsoft Fabric implementations
Exposure to largescale enterprise modernization programs
Growth opportunities across cloud data platforms and analytics
Collaborative highimpact engineering culture
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
IC
Lead Data EngineerPrimary SkillsAKS Event Hub Azure DevOps Cosmos DB Azure FunctionsSpecializationAzure Data Engineering Advanced: Senior Data EngineerJob requirementsJob DescriptionWe are seeking a Senior Data Engineer with strong handson expertise in Azure Data Platform and Microsoft Fabric to des...
Lead Data Engineer
Primary Skills
AKS Event Hub Azure DevOps Cosmos DB Azure Functions
Specialization
Azure Data Engineering Advanced: Senior Data Engineer
Job requirements
Job Description
We are seeking a Senior Data Engineer with strong handson expertise in Azure Data Platform and Microsoft Fabric to design build and scale modern enterprisegrade data solutions. The role involves working on endtoend data engineering pipelines lakehouse architectures and analyticsready data models using Azure and Fabrics unified analytics capabilities.
Key Responsibilities
Design develop and manage endtoend data pipelines using Microsoft Fabric (Data Pipelines Lakehouse Warehouse OneLake) and Azure Data Factory
Build scalable data transformation and processing solutions using Fabric Notebooks PySpark Python and SQL
Implement Lakehouse and Medallion Architecture (Bronze Silver Gold) to support analytics and reporting workloads
Develop and optimize SQL-based solutions including TSQL stored procedures and performancetuned queries
Integrate data from multiple sources including RDBMS APIs files streaming sources and cloud storage
Work with ADLS Gen2 Blob Storage and OneLake for structured and unstructured data management
Enable analytics and reporting by integrating Fabric datasets with Power BI
Implement data quality checks monitoring logging and errorhandling mechanisms
Support migration and modernization initiatives from ADF / Databricks to Microsoft Fabric where applicable
Ensure adherence to data governance security lineage and compliance standards (Microsoft Purview exposure preferred)
Collaborate closely with architects analysts and business stakeholders to translate requirements into scalable data solutions
Provide technical guidance and mentoring to junior engineers
Required Skills & Expertise
Microsoft Azure & Fabric
Microsoft Fabric (Data Pipelines Lakehouse Warehouse OneLake)
Azure Data Factory (ADF)
Azure Data Lake Storage Gen2 (ADLS G2)
Azure Blob Storage
Programming & Query Languages
SQL (Basic & Advanced)
TSQL
Stored Procedures
Python
PySpark / Spark SQL
Data Engineering & Architecture
ETL / ELT Fundamentals
Modern Data Platform Concepts
Data Warehousing & Lakehouse Architecture
Data Modeling Fundamentals (Star / Snowflake schemas)
Incremental loads CDC and watermarking techniques
Monitoring & Governance
Pipeline monitoring & performance optimization
Azure Monitoring / Fabric monitoring tools
Microsoft Purview (Data lineage & governance good to have)
Good to Have
Experience with streaming or near realtime processing
Exposure to Databricks in hybrid AzureFabric environments
Excellent communication and stakeholder management skills
Ability to work independently in fastpaced delivery environments
Ownership mindset with focus on quality and reliability
Why Join Us
Work on cuttingedge Azure & Microsoft Fabric implementations
Exposure to largescale enterprise modernization programs
Growth opportunities across cloud data platforms and analytics
Collaborative highimpact engineering culture
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
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