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Data Engineer Contract Strategic Staffing SolutionsRichmond VA1 month ago
2 months ago
STRATEGIC STAFFING SOLUTIONS (S3) HAS AN OPENING
Strategic Staffing Solutions is currently looking for a Data Engineer, for a W2 contract opportunity with one of our largest clients
Candidates should be willing to work on our W2 ONLY No C2C
Job Title : Data Engineer
Location(s): Richmond, VA/ McLean, VA hybrid (Mon & Fri remote/Tue-Thu onsite)
Schedule: Hybrid
Role Type: W2 ONLY
Contract Length: 12 months
Key Skills :
Python, SQL, Spark, AWS (Lambda, Glu, EMR)
The Job:
Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
Work with a team of developers with experience in integrating data with CRM tools like salesforce CRM Developing and deploying distributed computing Big Data applications using Open Source frameworks like Apache Spark, Flink, Nifi, Storm and Kafka on AWS Cloud Work with other enterprise teams to integrate applications with API’s & other internal Tools.
Utilizing programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and snowflake Leveraging DevOps techniques and practices like Continuous Integration, Continuous Deployment, Test Automation, Build Automation and Test Driven Development to enable the rapid delivery of working code utilizing tools like Jenkins, Maven, Nexus, Chef, Terraform, Ruby, Git and Docker Performing unit tests and conducting reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance.
Skill Requirements:
Basic Qualifications:
Bachelor’s Degree
At least 6+ years of experience in application development
At least 4+ year of experience in big data technologies
Preferred Qualifications :
3+ years of experience in application development including Python, SQL, Scala, or Java
2+ years of experience with a public cloud like AWS(preferred), Microsoft Azure, Google Cloud 2+ years of experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)
2+ year experience working on real-time data and streaming applications 2+ years of experience with Snowflake.
2+ years of experience with UNIX/Linux including basic commands and shell scripting
2+ years of experience converting business requirements into solution designs
1+ years of experience leading or facilitating sessions to define and document business requirements.
Job ID: JOB-236992
Publish Date: 07 Aug 2024
Tagged as: Data Engineer