Title: Big Data Engineer Location: Rockville, MD 20850 Contract Length: 6 month Contract to Hire A' A' .A' A' A' A' A' A' A' A' Strong programming experience - Python, Scala or Java. A' .A' A' A' A' A' A' A' A' Experience in Amazon Web Services (AWS)A' A' .A' A' A' A' A' A' A' A' Experience with Hive/ HadoopA' / MapReduceA' A' .A' A' A' A' A' A' A' A' Experience with Apache SparkA' A' .A' A' A' A' A' A' A' A' Must have excellent data analysis, design, and development skillsA' A' .A' A' A' A' A' A' A' A' Experience with performance tuning ETL jobs and data models A' .A' A' A' A' A' A' A' A' Must have experience in a variety of data delivery methodologies and best practices (ie ingestion of large amounts of data) A' .A' A' A' A' A' A' A' A' Must be willing and able to support application development throughout the software life cycle from requirements analysis and design, through to implementation and maintenance.Job Requirements:Integrate new data and big data management technologies and software engineering toolsUtilize the new big data toolsEnsure the data architecture can be extendable for big data solutionsImplement data tools to support analytics and data scientist teamBreathe data systems architecture engineeringDesign the data architecture and data integration layersEnsure that data center networksDevelop business critical data solutionsManage the migration of data from legacy systems to new data solutionsTroubleshoot data processing and regular data loadsIntegrate new data technologies/tools across the enterpriseEvangelize data best practices and implement analytics solutionsDiscover data across many different systems, data sources, and data typesCollect and store big dataExecuting data center infrastructure engineering projects About AECOMExecuting data center infrastructure engineering projectsImplement data extraction tools with integration of a variety of data sources and data formatsSolve big data problems with smart algorithmic solutionsAssist with data-related technical issuesBuild and integrate data from various resources and manage big data