
Azure Data Engineer
Role summary
Seeking a Senior/Lead Data Engineer with 8+ years of experience to design, build, and optimize large-scale data processing systems for clients in finance, healthcare, and retail. Responsibilities include architecting data pipelines and ETL processes, developing data ingestion frameworks, optimizing data lakes and warehouses, and implementing data governance. Requires strong expertise in at least one major cloud platform (AWS, Azure, GCP) and proficiency with tools like Spark, PySpark, Databricks, Kafka, Snowflake, Airflow, SQL, and Python. The role also involves data modeling, orchestration, performance tuning, and leading junior engineers.
💼
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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