Job DescriptionSenior Data EngineerMcLean VA12 Months ContractJob Description:Senior Data Engineer will be responsible for building data pipelines & frameworks using open source tools on public Cloud platforms. The right candidate for this role is someone who is passionate about technology, interacts with product owners and technical stakeholders, thrives under pressure, and is hyper-focused on delivering exceptional results with good teamwork skills. You'll bring solid experience in emerging and cutting-edge technologies such as: Spark, Scala/Java/Python, Python, REST, JSON, NoSQL databases, relational databases, Jenkins/Maven,and AWS/Cloud Infrastructure to name a few.Responsibilities:Provide technical guidance concerning business implications of application development projects Leverage ETL programming skills in open source languages including Python, Scala, and SQL on various frameworks especially Apache Spark Deploy 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, Nexus, Github, and Docker Experience with Cloud computing, preferably AWS and its services including S3, EMR/EC2 and Lambda functions Manage multiple responsibilities in an unstructured environment where you're empowered to make a difference. In that context, you will be expected to research and develop cutting edge technologies to accomplish your goals Must have a firm understanding of delivering large-scale data sets solutions and SDLC best practicesBasic Qualifications:At least 2 years of experience delivering data solutions using open-source languages At least 2 years of experience utilizing scripting languages At least 3 years of experience developing ETL solutions At least 3 years of experience utilizing SQL in data solutionsPreferred Qualifications:Bachelor's degree in computer science or related degree, Master's degree preferred5 years of experience using Java, Python or Scala years of full-time5 experience in software development including design, coding, testing,5 and supportAt least 2 year of Cloud infrastructure experience working with one or more of the following Amazon Web Services (AWS) Cloud services: EC2, EMR, ECS, S3, SNS, SQS, Cloud Formation, Cloud watch, Lambda Hands-on experience with AWS architecture design, Data Management, Big Data, and Data Warehousing Experience of data applications and data product development2 years of experience with Agile, Kanban, or Scrum methodologiesProficient with CICD process, Agile and DevOps Software Development Life Cycle including analysis, high level design, coding, testing, and implementation, performance tuning, bug fixing and quality control Experience building data lakes in AWS Cloud, moving Data applications to the Cloud, and developing cloud native Data applications Expertise in creating data models, optimizing data, automating & restructuring data reporting system in financial services domain2 years of experience in big data technologies (Spark, Hadoop, HDFS,2 MongoDB, PostGre SQL)Experience leading complex data applications with large volumes of data