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20 Jul
Data Engineer
Virginia, Richmond

Vacancy expired!



Role: Data Engineer

Location: Richmond, VA

Client: Cognizant





























Exact Job Location/Work AddressRichmond, VA
Project Duration (relevant for CWR)7+ Months
Required Technologies

  • Strong Programming experience with object-oriented/object function scripting languages: Python coding is must.

  • 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 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 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 SkillsPython, Hadoop, Apache Spark, AWS, Snowflake/SQL knowledge
Years of Experience Required5+





















































































































































Vacancy expired!


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