*Hello,*

*Please have a look at the job description and do let me know your interest
for the same. Please share one reference.*

*Role- Big Data Engineer*

*Location: Horsham, PA (Hybrid role)*

*Duration: Long term Contract*




*Client note: Hybrid role ,Visa: USC/ GC/ H4 EAD Preferred, Need 10-year
exp and healthcare must*



*Must have skills - Data Analysis and Architecture, Spark, PySpark, Python,
Sqoop, Pig, Hive, No SQL Data Stores, Object Store, Design and Development
of APIs, Kafka*



Role Summary:



This role will be responsible for transforming extensive and complex data
into consumable business capabilities. Create system architecture, design,
and specification using in-depth engineering skills and knowledge to solve
complex development problems and achieve engineering goals. Determine and
source appropriate data for a given analysis. Work with data
modelers/analysts to understand the business problems they are trying to
solve, then create or augment data assets to feed their analysis. Acts as a
resource and mentor for colleagues with less experience.



Core Responsibilities:

   - Lead a team of data engineers to develop data products and tools,
   explore new technologies, and continually improve tools and processes.
   - Hands-on experience working with Data Analysis and Architecture,
   Spark, PySpark, Python, Sqoop, Pig, Hive, No SQL Data Stores, Object Store,
   Design and Development of APIs, Kafka
   - Create business value by leading the design, get your hands dirty,
   write code, and ultimately deploy big data and machine learning
   capabilities.
   - Possess expert knowledge in performance, large-scale data distributed
   system scalability, system architecture, and data engineering best
   practices.
   - Give the highest priority to operational excellence, evaluate system
   performance, security, design system metrics, and driving quality
   improvements.
   - Provide leadership, work collaboratively, and be a mentor in a
   fantastic team.
   - Your expertise is deep and broad; youre hands-on, producing both
   detailed technical work and high-level architectural designs.
   - 5+ years of recent hands-on in an object-oriented language (Java,
   Scala, Python).
   - 5+ years of experience designing and building data pipelines and
   data-intensive applications.
   - Experience using Big Data frameworks (e.g., Hadoop, Spark), databases
   for complex data assembly and transformation.
   - Experience working with Healthcare data is a plus.




*Best regards,*

*Naresh*

*P: 737-205-1512*

*E: [email protected] <[email protected]>*

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