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Software Development, IT Consulting

Senior Azure Data Engineer

00, United StatesRemoteContractSeniorPosted 1 day agoVisa sponsorship available

Job Summary

We are seeking a highly skilled
Senior Azure Data Engineer
with strong expertise in Databricks, Azure data services, and modern data engineering practices. The ideal candidate will have hands-on experience designing, building, and optimizing scalable data pipelines and enterprise-grade lakehouse architectures in hybrid cloud environments.

Key Responsibilities

- Design, build, and orchestrate scalable
data pipelines
using Azure-native services.
- Develop and optimize
batch and near real-time data processing solutions
using Spark and Databricks.
- Implement and manage
enterprise-grade Lakehouse architectures
(Medallion architecture).
- Perform
data processing, validation, and automation
using Python (PySpark, Pandas, NumPy).
- Optimize performance of large-scale data systems, including
Spark tuning and query optimization
.
- Work with
CDC (Change Data Capture)
pipelines and large-volume data ingestion.
- Collaborate with cross-functional teams to deliver
secure, scalable, and high-performance data platforms
.
- Implement
CI/CD pipelines
and DevOps best practices for data engineering workflows.

Required Skills & Experience

- Strong experience with
Azure Databricks
, including notebooks, clusters, and Delta Lake.
- Hands-on expertise in
Azure Data Factory (ADF)
and pipeline orchestration.
- Proficiency in
Python (PySpark, Pandas, NumPy)
and
SQL
.
- Experience with
Spark SQL
, performance tuning, and distributed data processing.
- Solid understanding of
Azure ecosystem
: ADLS, Synapse Analytics, Azure Functions, Event Grid, Key Vault, Purview.
- Experience designing and implementing
data lake / lakehouse architectures
.
- Knowledge of
dimensional data modeling
and analytics solutions.
- Familiarity with
DevOps and CI/CD automation
in data platforms.

Preferred Qualifications

- Experience with
Microsoft Fabric
.
- Proven track record of improving pipeline performance (e.g., 30–40% optimization).
- Exposure to
hybrid cloud environments
.
- Prior experience working with large enterprise clients.

Additional Information

- Proven experience delivering
production-grade, scalable data solutions
.
- Strong alignment with
senior-level Azure data engineering roles
.

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