to design, develop, and maintain data solutions on Microsoft Azure. The ideal candidate will have strong expertise in Azure data services, data modeling, and ETL processes, ensuring efficient and secure data pipelines for analytics and business intelligence.
Key Responsibilities:
Design and implement scalable data solutions using
Azure Data Factory
,
Azure Synapse Analytics
,
Azure Databricks
, and related services.
Develop and optimize
ETL/ELT pipelines
for structured and unstructured data.
Build and maintain
data lakes
and
data warehouses
on Azure.
Collaborate with data scientists, analysts, and business stakeholders to deliver high-quality data solutions.
Ensure data security, compliance, and governance across all Azure data platforms.
Monitor and troubleshoot data workflows for performance and reliability.
Required Skills & Qualifications:
Strong experience with
Azure Data Services
(Data Factory, Synapse, Databricks, Azure SQL Database).
Proficiency in
SQL
,
Python
, and
Spark
for data processing.
Hands-on experience with
data modeling
,
data warehousing
, and
data lake architecture
.
Knowledge of
Azure DevOps
for CI/CD and version control.
Understanding of
data governance
,
security
, and
compliance standards
.
* Bachelor's degree in Computer Science, Engineering, or related field.
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