Hadoop Developer || Richmond, VA and McLean, VA -- No OPT/CPT

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Dev Chauhan

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Jun 12, 2020, 9:23:03 AM6/12/20

to deven...@nityo.com

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

deven...@nityo.com

www.nityo.com

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