Hello *Associate*,

Hope you are doing well
We have below requirement open. Please send me your genuine candidate on my
email ID  *[email protected] <[email protected]>*


*Position: Data Engineer*
*Location: **Richmond VA, McLean, VA, Wilmington, DE, Chicago, IL*
*Type: Contract*


   - 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.


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 & Regards*

*Mohammed Ifthekharuddin*

 Tel: 703-831-8282 Ext 223 Cell: 323-825-5662
  Email: [email protected]  Web: www.canopyone.com
<http://canopyone.com/>

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