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Manufacturing

Azure Data Engineer

United StatesOnsiteFull TimePosted 1 month agoVisa sponsorship available

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💼
Senior / Lead Data Engineer

Location:
Multiple Client Locations across the USA (Open to Relocation)

Experience:
8+ Years

Employment Type:
Full-time and w2 Contract with client. No C2C

About the Role

We’re looking for an experienced
Senior or Lead Data Engineer
to join our client projects across diverse domains - finance, healthcare, retail, and cloud-based ecosystems. This role involves designing, building, and optimizing large-scale data processing systems, ensuring data availability and integrity across platforms.

Key Responsibilities:

- Architect, build, and maintain scalable
data pipelines
and
ETL processes
using modern tools and cloud technologies
- Develop and deploy
data ingestion frameworks
for structured and unstructured data sources.
- Work closely with
data scientists, analysts, and DevOps teams
to design efficient data models and ensure seamless integrations.
- Optimize performance of large-scale
data lakes and warehouses
.
- Implement
data governance, lineage, and quality frameworks
.
- Lead and mentor junior data engineers and ensure best practices in data engineering.

Required Skills:

- 8+ years of hands-on experience in
data engineering, ETL development, and pipeline automation
.
- Strong expertise in at least one cloud platform -
AWS, Azure, or GCP
.
- Hands-on with
Spark, PySpark, Databricks, Kafka, Snowflake, Airflow, SQL, and Python
.
- Experience with
data warehousing
(Redshift, BigQuery, Synapse, etc.) and
streaming technologies
.
- Solid understanding of
data modeling, orchestration, and performance tuning
.
- Excellent communication skills and ability to work in collaborative, cross-functional teams.

Nice to Have:

- Experience in
data modernization or migration projects
.
- Familiarity with
CI/CD pipelines
and
containerization
(Docker/Kubernetes).

📩
Interested candidates can apply directly or share resumes at

rajesh@precisiontechcorp.com

Let’s build the future of data together!

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