Architect, Big Data at Acosta Sales & Marketing in Jacksonville, FL
Responsibilities Evaluate tools and technologies in the context of the future state ingestion architecture, and evolving business requirements Responsible for review of project artifacts during the transition phase and ensure operational needs are met. Provide technology operational support as new systems/platforms are rolled out to the enterprise Implement and Optimize Hadoop, Integration and Analytical technologies Review solution and technical designs Propose best practices/standards. Benchmark the performance in line with the non-functional requirements Previous experience in developing and deploying operational procedures, tuning guides and best practices documentation. Capacity to provide technical guidance, including serving as a resource to project teams and the other teams by evaluating and proposing technical alternatives for resolving business and technology issues. Attention to detail to review project deliverables for completeness, quality, and compliance with established project standards. Working with data architects to ensure that data structures and models are efficiently designed to optimize loading, tagging, cleansing and reprocessing activities. Acts as a positive role model, co-workers and the business group to promote high performance solutions. Develops strong relationships with the developers and managers to deliver effective services. Promotes an environment of continuous learning and continuous improvements Provides 2nd level and 3rd level support Keep abreast of software updates and vendor strategies Perform bug fixes and minor enhancements to existing Hadoop application. Qualifications 3
years developing and supporting applications leveraging the Hadoop stack 3
years of experience with data integration/ETL tools such as DataStage or preferably a pure-play ETL tool on Hadoop (CDAP, Talend) 1
years of experience with Data Vault or equivalent Previous experience developing ETL / Hadoop ingestion frameworks is a must. SDLC knowledge in both waterfall and agile methodologies Hands-on experience with source code management system (SVN, Git) and continuous integration tools (Jenkins) Experience on following tools:
Hive, SQL, Nifi, Spark, Kafka, Flume, Sqoop, HBase ,Pig, HDFS, R, NoSQL Deep knowledge of Hive optimization Experience on handling data processing, delivering distributed and highly scalable application Experience with HortonWorks Hadoop Distribution Experience with large scale domain or enterprise solution analysis development, selection and implementation Experience with high-volume, transaction processing software applications Good understanding of workload management, schedulers, scalability and distributed platform architectures Experience in software development and architecture experience using Java EE technologies (Application Server, Enterprise Service Bus, SOA, Messaging, Data Access Layers) Experience in scripting languages & automation such as bash, PERL, and Python Experience in data warehousing, analytics, and business intelligence/visualization/presentation Experience using SQL against relational databases. Working knowledge of search technologies like Lucene, Solr, 5
years of hands-on experience on Linux Excellent communication skills (both written and oral) combined with strong interpersonal skills Strong analytical skills and thought processes combined with the ability to be flexible and work analytically in a problem solving environment Attention to detail Strong organizational & multi-tasking skills Proven track of continuous learning and self-improvement MosaicNorth America is an Equal Opportunity Employer
Salary Range:
$80K -- $100K
Minimum Qualification
Database AdministrationEstimated Salary: $20 to $28 per hour based on qualifications.
years developing and supporting applications leveraging the Hadoop stack 3
years of experience with data integration/ETL tools such as DataStage or preferably a pure-play ETL tool on Hadoop (CDAP, Talend) 1
years of experience with Data Vault or equivalent Previous experience developing ETL / Hadoop ingestion frameworks is a must. SDLC knowledge in both waterfall and agile methodologies Hands-on experience with source code management system (SVN, Git) and continuous integration tools (Jenkins) Experience on following tools:
Hive, SQL, Nifi, Spark, Kafka, Flume, Sqoop, HBase ,Pig, HDFS, R, NoSQL Deep knowledge of Hive optimization Experience on handling data processing, delivering distributed and highly scalable application Experience with HortonWorks Hadoop Distribution Experience with large scale domain or enterprise solution analysis development, selection and implementation Experience with high-volume, transaction processing software applications Good understanding of workload management, schedulers, scalability and distributed platform architectures Experience in software development and architecture experience using Java EE technologies (Application Server, Enterprise Service Bus, SOA, Messaging, Data Access Layers) Experience in scripting languages & automation such as bash, PERL, and Python Experience in data warehousing, analytics, and business intelligence/visualization/presentation Experience using SQL against relational databases. Working knowledge of search technologies like Lucene, Solr, 5
years of hands-on experience on Linux Excellent communication skills (both written and oral) combined with strong interpersonal skills Strong analytical skills and thought processes combined with the ability to be flexible and work analytically in a problem solving environment Attention to detail Strong organizational & multi-tasking skills Proven track of continuous learning and self-improvement MosaicNorth America is an Equal Opportunity Employer
Salary Range:
$80K -- $100K
Minimum Qualification
Database AdministrationEstimated Salary: $20 to $28 per hour based on qualifications.
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