Senior Big Data Developer

Responsibilities Define technical scope and objectives through research and participation in requirements-gathering and definition of processes. Gather and process raw, structured, semi-structured, and unstructured data at scale, including writing scripts and developing programmatic interfaces against web APIs. Design, review, implement and optimize data transformation processes in the Hadoop ecosystem. Test and prototype new data integration tools, techniques and methodologies. Participate in functional test planning and testing for the assigned application integrations, functional areas and projects. Work with the team in an Agile environment to ensure a quality product is delivered. Rapid response and cross‑functional work to deliver appropriate resolution of technical, procedural, and operational issues. Qualifications MS/BS degree in Computer Science, related technical field, or equivalent work experience. Minimum of 5 years of experience with the following: Experience architecting and integrating the Hadoop platform with traditional RDBMS data warehouses. Experience with major Hadoop distributions such as Cloudera (preferred), HortonWorks, MapR, BigInsights, or Amazon EMR is essential. Experience developing within the Hadoop platform including Java, MapReduce, Hive, Spark, Python. Experience with scheduling technologies such as Azkaban, Oozie, or Control‑M. Excellent oral and written communication skills Excellent analytical and problem solving skills Working knowledge of Linux O/S and Solaris environments Experience with logical, 3NF or Dimensional data models. Experience with Netezza, Oracle, SQL Server. Experience with Hadoop ecosystem technologies like Flume, Sqoop, NiFi, Spark Streaming. Knowledge of Java SE, Java EE, JMS, XML, XSL, Web Services and other application integration‑related technologies Experience with NoSQL databases such as HBase, Cassandra, Redis or MongoDB. Experience with Pig and Pig UDF development. Certifications from Cloudera, HortonWorks and/or MapR. Familiarity with Business Analytics tools and platforms such as Tableau, Jaspersoft, Business Objects, MicroStrategy, Platfora, a plus. Experience in working in an Agile. Desirable Skills & Experience Experience with logical, 3NF or Dimensional data models. Experience with Netezza, Oracle, SQL Server. Experience with Hadoop ecosystem technologies like Flume, Sqoop, NiFi, Spark Streaming. Knowledge of Java SE, Java EE, JMS, XML, XSL, Web Services and other application integration‑related technologies Experience with NoSQL databases such as HBase, Cassandra, Redis or MongoDB. Experience with Pig and Pig UDF development. Certifications from Cloudera, HortonWorks and/or MapR. Familiarity with Business Analytics tools and platforms such as Tableau, Jaspersoft, Business Objects, MicroStrategy, Platfora, a plus. Experience in working in an Agile. Location Dallas, TX. Job may require some travel in the US with expenses paid by employer. 40 hours per week. Applicant must be authorized to work in the USA. #J-18808-Ljbffr Automation Image