As a Senior Azure Data Engineer, you will lead the design, development, and deployment of scalable data architectures on Microsoft Azure. You will collaborate with data scientists, analysts, and stakeholders to build robust data pipelines, ensure data quality, and deliver reliable data services that support advanced analytics and business intelligence.
Experince in Domains - Banking, Insurence, Retails is mandatory
Key Responsibilities:
Design and develop scalable data architectures using Azure services.
Implement and optimize ETL pipelines using
Azure Data Factory
,
Databricks
, and
Synapse Analytics
.
Ensure data quality, integrity, and security across all data processes.
Collaborate with cross-functional teams to support data needs and analytics initiatives.
Monitor and troubleshoot data systems to ensure optimal performance.
Document data workflows, processes, and governance policies.
Mentor junior data engineers and provide technical guidance.
Transform raw data into actionable insights for business decision-making.
Required Qualifications:
Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
10+ years of experience in data engineering or a similar role.
Proven experience with Azure data services including:
Azure Data Factory
Azure Synapse Analytics
Azure Databricks
Azure SQL Database
Azure Data Lake
Strong knowledge of
SQL
and
NoSQL
databases.
Experience with
ETL processes
,
data integration
, and
data modeling
.
Proficiency in
Python
or other scripting languages.
Familiarity with
Power BI
for reporting and dashboarding.
Excellent problem-solving and communication skills.
Preferred Skills:
Experience with
data warehousing
and
performance tuning
.
Knowledge of
data governance
,
security
, and
compliance
(e.g., RBAC, encryption).
Microsoft Certified: Azure Data Engineer Associate or equivalent certification.
Experience with
CI/CD pipelines
and
DevOps
practices in data engineering.
Job Type: Temporary
Contract length: 6 months
Pay: 550.00-650.00 per day
Benefits:
Work from home
Work Location: In person
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