C2C- Azure Data Engineer/Lead -Alpharetta, GA (Hybrid)-Local to GA

Hi,
Hope you're doing well.

My name is Sujaan and I am a Technical Recruiter from Empower
Professionals Inc. We are sourcing for a "Azure Data Tech Lead
(20404-1)" role located at "Atlanta GA" and it is a long term contract
for at least 12 months and can be extended further as well.



If you're skills match the job description, please share your updated
resume along with your location and expected rate so that I can get in
touch with you for further process.



Local to GA

10+ Years



Role: Azure Data Engineer/Lead

Location: Alpharetta, GA (Hybrid)

Duration: 12+ Months





Must have:

Azure Databricks
SQL
Spark
ADLS
SQL
ETL
Delta Lake, PostgreSQL, Data Architecture, Batch & Real-time Processing,
Data Modelling


Responsibilities:

Architect, design, and implement scalable data platforms and pipelines
on Azure and Databricks.
Build and optimize data ingestion, transformation, and processing
workflows across batch and real-time data streams.
Work extensively with ADLS, Delta Lake, and Spark (Python) for
large-scale data engineering.
Lead the development of complex ETL/ELT pipelines, ensuring high
quality, reliability, and performance.
Design and implement data models, including conceptual, logical, and
physical models for analytics and operational workloads.
Work with relational and lakehouse systems including PostgreSQL and
Delta Lake.
Define and enforce best practices in data governance, data quality,
security, and architecture.
Collaborate with architects, data scientists, analysts, and business
teams to translate requirements into technical solutions.
Troubleshoot production issues, optimize performance, and support
continuous improvement of the data platform.
Mentor junior engineers and contribute to building engineering standards
and reusable components.


Requirements:

8+ years of hands-on data engineering experience in enterprise
environments.
Strong expertise in Azure services, especially Azure Databricks,
Functions, and Azure Data Factory (preferred).
Advanced proficiency in Apache Spark with Python (PySpark).
Strong command over SQL, query optimization, and performance tuning.
Deep understanding of ETL/ELT methodologies, data pipelines, and
scheduling/orchestration.
Hands-on experience with Delta Lake (ACID transactions, optimization,
schema evolution).
Strong experience in data modelling (normalized, dimensional, lakehouse
modelling).
Experience in both batch processing and real-time/streaming data (Kafka,
Event Hub, or similar).
Solid understanding of data architecture principles, distributed
systems, and cloud-native design patterns.
Ability to design end-to-end solutions, evaluate trade-offs, and
recommend best-fit architectures.
Strong analytical, problem-solving, and communication skills.
Ability to collaborate with cross-functional teams and lead technical
discussions.


Preferred Skills:

Experience with CI/CD tools such as Azure DevOps and Git.
Familiarity with IaC tools (Terraform, ARM).
Exposure to data governance and cataloging tools (Azure Purview).
Experience supporting machine learning or BI workloads on Databricks.






--
Thanks,
Sujaan Gurjar
Technical Recruiter| Empower Professionals
Sujaan@empowerprofessionals.com |
100 Franklin Square Drive – Suite 104 | Somerset, NJ 08873
www.empowerprofessionals.com
Certified NJ and NY Minority Business Enterprise (NMSDC)
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