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
If you would prefer to no longer receive any emails from this Company, you may opt out at anytime by clicking here.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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