Azure DevOps Engineer

2 weeks ago

Hyderabad, Telangana, India Conscendo Technologies Full time ₹ 6,00,000 - ₹ 18,00,000 per year

Job Title:
Azure DevOps Engineer

Experience:
3–8 Years

Location:
Hyderabad (Work from Office)

About The Role
We are seeking an experienced
Azure DevOps Engineer
with strong expertise in
data integration, pipeline design, and Azure services
. The ideal candidate will have hands-on experience in designing, building, and maintaining scalable data solutions while ensuring security, performance, and compliance.

Core Technical Skills
Data Integration & ETL
Strong understanding of
ETL/ELT concepts and methodologies
.

Expertise in
data pipeline design patterns, transformations, and mappings
.

Experience with
error handling, data validation, and performance optimization
.

Azure Services
Storage:
Blob Storage, Data Lake Gen2, SQL Database.

Compute:
Azure SQL, Synapse Analytics, Databricks.

Integration:
Logic Apps, Event Hubs, Service Bus.

Security:
Key Vault, Azure AD authentication.

Programming & Scripting
SQL (T-SQL):
Stored procedures, transformations.

PowerShell:
Automation and resource management.

Python/C#:
Custom activities, data processing.

JSON & Expressions:
ARM templates, ADF expressions.

Data Formats & Protocols
Proficient in
CSV, JSON, Parquet, Avro, ORC
.

Database connectivity:
SQL Server, Oracle, MySQL, PostgreSQL
.

Experience with
REST APIs, on-premises data gateway configuration
.

Azure Data Factory (ADF) Skills
Pipeline Development:
Copy, Data Flow, Lookup, ForEach, If Condition.

Triggers:
Schedule, Tumbling Window, Event-based.

Use of
parameters, variables, dynamic content, expressions
.

Debugging & Monitoring:
Pipeline monitoring, error handling, performance tuning.

Data Flows:
Complex transformations, wrangling flows, schema drift handling.

Integration Runtime:
Azure, self-hosted, SSIS runtime configurations.

Operational Skills
Monitoring, troubleshooting, and performance tuning.

Error diagnosis and cost optimization.

Security & Governance:
RBAC, encryption, compliance (GDPR, HIPAA).

Data lineage and metadata management.

DevOps Integration
Version control:
Git repositories.

CI/CD pipelines:
Implementation and automation.

Environment promotion strategies.

ARM template deployment.

Business & Analytical Skills
Knowledge of
data warehouse, Delta Lake, Lambda & Kappa architectures
.

Star schema and dimensional modeling
expertise.

Ability to analyze
business requirements, data sources, and performance needs
.

Strong communication skills for
stakeholder management
.

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