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Urgent Requirement || Data Engineer || Richmond VA, McLean, VA, Wilmington, DE, Chicago, IL

06/19/20 8:13 AM

Greetings,


We have an opening for . Below are the requirement details, just go through it & if you feel interested, revert back to me with your updated resume Your earliest reply is highly appreciated.


CPT/OPT will not be workable
For H1B Passport number compulsary
Client Cognizant
Atleast 7+ years Experience required

 
Role : Data Engineer
Location : : Richmond VA, McLean, VA, Wilmington, DE, Chicago, IL

 
 
·         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
•                     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.
Note: if you know of someone who may be a good fit, please forward this to them

Thanks,
Next Level Business Services, Inc.
Consulting| Analytics| Staff Augmentation

UtkarshVerma
11340 Lakefield Drive Suite #200,
Johns Creek, GA, 30097
(904) 267-0538
utkarsh.verma@nlbservices.com
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