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.



*Hadoop Developer*

*Location: Richmond, VA and McLean, VA*

*Contract: 7+ Months*



*No fake/ junior candidates. There would be a coding test at client
interview. *



Skills

Rating Out Of 10

Experience in Years

Spark

Python

Scala





AWS

Snowflake











Exact Job Location/Work Address

Richmond, VA

Project Duration (relevant for CWR)

7+ Months

Required Technologies

   - Strong Programming experience with object-oriented/object function
   scripting languages: Python.
   - Experience with big data tools: Hadoop, Apache Spark etc.
   - Experience with AWS cloud services: S3, EC2, EMR, RDS, Redshift
   - Experience with stream-processing systems: Storm, Spark-Streaming,
   etc. (Nice to have)
   - Experience with relational SQL, Snowflake and NoSQL databases



*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:



   - 3+ years of experience (Mid-level) Strong Programming experience with
   object-oriented/object function scripting languages: Python
   - 3+ years of experience (Mid-level) Experience with big data tools:
   Hadoop, Apache Spark, Kafka, etc
   - 1+ years of experience Experience with AWS cloud services: S3, EC2,
   EMR, RDS, Redshift
   - Experience with stream-processing systems: Storm, Spark-Streaming,
   etc. (Nice to have)
   - 1+ Years of experience 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.



Preferred Skills

Python, Hadoop, Apache Spark, AWS, Snowflake/SQL knowledge

Years of Experience Required

5+





























































































































Exact Job Location/Work Address

McLean, VA

Project Duration (relevant for CWR)

7+ Months

Required Technologies

   - Strong Programming experience with object-oriented/object function
   scripting languages: Python.
   - Experience with big data tools: Hadoop, Apache Spark etc.
   - Experience with AWS cloud services: S3, EC2, EMR, RDS, Redshift
   - Experience with stream-processing systems: Storm, Spark-Streaming,
   etc. (Nice to have)
   - Experience with relational SQL, Snowflake and NoSQL databases



*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:



   - 3+ years of experience (Mid-level) Strong Programming experience with
   object-oriented/object function scripting languages: Python
   - 3+ years of experience (Mid-level) Experience with big data tools:
   Hadoop, Apache Spark, Kafka, etc
   - 1+ years of experience Experience with AWS cloud services: S3, EC2,
   EMR, RDS, Redshift
   - Experience with stream-processing systems: Storm, Spark-Streaming,
   etc. (Nice to have)
   - 1+ Years of experience 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.



Preferred Skills

Python, Hadoop, Apache Spark, AWS, Snowflake/SQL knowledge

Years of Experience Required

5+

































































































































*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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