HSO Enterprise Solutions GmbH
Overview
As an Azure Data Engineer you can expect to… Design, build, and maintain
data engineering solutions
on
Microsoft Azure and Fabric
(Lakehouse, Warehouse, Data Factory, Synapse Analytics, Dataflows, Eventstreams). Coordinate
sprints, daily stand-ups, and retrospective meetings
as part of Agile delivery. Collaborate with business and technical teams to
analyze, document, and validate requirements . Perform
source system analysis
and identify appropriate
data ingestion and integration strategies
for both
batch and streaming
pipelines. Develop and optimize
ETL/ELT solutions
using Azure Data Factory pipelines, Synapse pipelines, or Fabric Data Pipelines. Leverage services such as
Azure Data Lake Storage (ADLS), Synapse Analytics, SQL Database, Azure Functions, Event Hub, Synapse Spark, and Microsoft Fabric
(Lakehouse, Warehouse, Notebooks, Pipelines) for data integration and transformation. Write and optimize
SQL, Python, and PySpark code
for large-scale data processing. Implement data ingestion frameworks,
incremental/delta loads , and medallion architecture patterns (Bronze/Silver/Gold). Connect and integrate
diverse data sources
(SQL, Oracle, ODBC, ERP, CRM, APIs, flat files, streaming events) into Fabric and Azure ecosystems. Ensure
data quality, security, and governance
in alignment with enterprise standards. Continuously
research and adopt efficient methods
for scalable data movement, transformation, and storage. Work independently and as part of a
cross-functional team
to deliver high-quality solutions. You're great at…
Working in Microsoft Fabric and Azure Data Services to design, build, and optimize enterprise-grade data pipelines Modern data engineering, advanced SQL/Spark skills, and working collaboratively in Agile environments Solving complex problems with creative solutions Learning new concepts quickly and thoroughly Learning new concepts quickly and thoroughly Promoting the mission and Shared Values of our company
#J-18808-Ljbffr
As an Azure Data Engineer you can expect to… Design, build, and maintain
data engineering solutions
on
Microsoft Azure and Fabric
(Lakehouse, Warehouse, Data Factory, Synapse Analytics, Dataflows, Eventstreams). Coordinate
sprints, daily stand-ups, and retrospective meetings
as part of Agile delivery. Collaborate with business and technical teams to
analyze, document, and validate requirements . Perform
source system analysis
and identify appropriate
data ingestion and integration strategies
for both
batch and streaming
pipelines. Develop and optimize
ETL/ELT solutions
using Azure Data Factory pipelines, Synapse pipelines, or Fabric Data Pipelines. Leverage services such as
Azure Data Lake Storage (ADLS), Synapse Analytics, SQL Database, Azure Functions, Event Hub, Synapse Spark, and Microsoft Fabric
(Lakehouse, Warehouse, Notebooks, Pipelines) for data integration and transformation. Write and optimize
SQL, Python, and PySpark code
for large-scale data processing. Implement data ingestion frameworks,
incremental/delta loads , and medallion architecture patterns (Bronze/Silver/Gold). Connect and integrate
diverse data sources
(SQL, Oracle, ODBC, ERP, CRM, APIs, flat files, streaming events) into Fabric and Azure ecosystems. Ensure
data quality, security, and governance
in alignment with enterprise standards. Continuously
research and adopt efficient methods
for scalable data movement, transformation, and storage. Work independently and as part of a
cross-functional team
to deliver high-quality solutions. You're great at…
Working in Microsoft Fabric and Azure Data Services to design, build, and optimize enterprise-grade data pipelines Modern data engineering, advanced SQL/Spark skills, and working collaboratively in Agile environments Solving complex problems with creative solutions Learning new concepts quickly and thoroughly Learning new concepts quickly and thoroughly Promoting the mission and Shared Values of our company
#J-18808-Ljbffr