Hi,


I have some urgent requirements with my client. Please send me your updated
resume along with your hourly rate / yearly salary expectations, if
interested. In case you are not interested, it will be nice to let your
friends know of this position who may be a potential fit.



*Sr. Bigdata Engineer*

*Location: Richmond VA, McLean, VA, Wilmington, DE, Chicago, IL*

*Contract*



Exact Job Location/Work Address

Requirements are scattered across 4 main locations:  Richmond VA, McLean,
VA, Wilmington, DE, Chicago, IL

Required Technologies

   - Strong Programming experience with object-oriented/object function
   scripting languages: Python, PySpark, Scala, etc.
   - Experience with big data tools: Hadoop, Apache Spark, Kafka, etc.
   - Experience with AWS cloud services: S3, EC2, EMR, RDS, Redshift
   - Experience with stream-processing systems: Storm, Spark-Streaming, etc.
   - Experience with relational SQL, Snowflake and NoSQL databases,
   including Postgres and Cassandra.



*Job Description:* Detailed overview of functional and technical role
expectations

Candidate with 5+ years of experience in a Data Engineer role, who has
attained a Graduate degree in Computer Science, Statistics, Informatics,
Information Systems or another quantitative field. They should also have
working experience using the following software/tools:



   - Strong Programming experience with object-oriented/object function
   scripting languages: Python, PySpark, Scala, etc.
   - Experience with big data tools: Hadoop, Apache Spark, Kafka, etc.
   - Experience with AWS cloud services: S3, EC2, EMR, RDS, Redshift
   - Experience with stream-processing systems: Storm, Spark-Streaming, etc.
   - Experience with relational SQL, Snowflake and NoSQL databases,
   including Postgres and Cassandra.







Responsibilities for Data Engineer:



   - Create and maintain optimal data pipeline architecture, Assemble
   large, complex data sets that meet functional / non-functional business
   requirements.
   -  Identify, design, and implement internal process improvements:
   automating manual processes, optimizing data delivery, re-designing
   infrastructure for greater scalability etc.
   -  Build the infrastructure required for optimal extraction,
   transformation, and loading of data from a wide variety of data sources
   using SQL and AWS ‘Big data’ technologies.
   - Build analytics tools that utilize the data pipeline to provide
   actionable insights into customer acquisition, operational efficiency and
   other key business performance metrics.
   -  Work with stakeholders including the Executive, Product, Data and
   Design teams to assist with data-related technical issues and support their
   data infrastructure needs.
   - Create data tools for analytics and data scientist team members that
   assist them in building and optimizing our product into an innovative
   industry leader.



















































































































*Thanks and Regards,*

*Dev Chauhan *

*Direct No. 609-551-3117*

*Ph: 609-853-0818 Ext: 2290*

*devendr...@nityo.com* <devendr...@nityo.com>

*www.nityo.com* <http://www.nityo.com/>



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