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Work Mode

On-site

Job Type

Full Time

Job Description

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

.

Mock Interview

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