Big Data Developer with Oracle Database_ Need Visa Copy and Photo ID with the resume
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Rajat Ahuja
Nov 20, 2018, 12:30:52 AM11/20/18
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Hello,
Hope you are doing fine!!
Please review the requirement and if you are interested then reply back with your consultant resume and contact details ASAP to ra...@net2source.comPosition : Big Data Developer with Oracle Database
Location : Quincy, MA
Duration : 6+ months
Big data with hands on experience in Big data Eco- system related technologies like Map Reduce, Spark, Hive, Impala, Sqoop, HBase, Kafka.
Technology – Oracle 11g, SQL, PL/SQL, Performance Tuning, Unix, Autosys, Data Warehouse Experience, Data Modeling
Mandatory Skills
• Interact with Business Analyst and Product team to understand the business & functional requirements.
• Actively participate in project scrum meeting, planning meeting and story sizing.
• Perform data modeling and implement the business rules using Oracle database objects.
• Define source to target data mapping and data transformation logic per the business need.
• Develop data marts for various applications by integrating source data.
• Review the data models designed and developed for each module.
• Analysis of Big data with hands on experience in Big data Eco- system related technologies like Map Reduce, Spark, Hive, Impala, Sqoop, HBase, Kafka.
• Hands on development and maintenance of the Hadoop Platform and various associated components for data ingestion, transformation and processing.
• Develop and support RDBMS objects and code for data profiling, extraction, load and updates.
• Possess and demonstrate knowledge of data warehouse concepts, big data, architecture, techniques, various design alternatives, and overall data warehouse strategies.
• Exposure to Hadoop ecosystem (including HDFS, Spark, Sqoop, Flume, Hive, Impala, MapReduce, Sentry, Navigator)
• Design and implement real-time integration and data driven customer personalization using an API driven big data platform solution (SOAP, REST, OData).
• Design and develop data integration solutions (batch and real-time) to support enterprise data platforms including Hadoop, RDBMS and NoSQL.
• Experience with Hive/Spark SQL and performance tuning.
• Experience on Hadoop data ingestion using ETL tools, specifically Informatica Big Data Edition and Hadoop transformation (using MapReduce, Spark, Blaze)
Location : Quincy, MA
Duration : 6+ months
Big data with hands on experience in Big data Eco- system related technologies like Map Reduce, Spark, Hive, Impala, Sqoop, HBase, Kafka.
Technology – Oracle 11g, SQL, PL/SQL, Performance Tuning, Unix, Autosys, Data Warehouse Experience, Data Modeling
Mandatory Skills
• Interact with Business Analyst and Product team to understand the business & functional requirements.
• Actively participate in project scrum meeting, planning meeting and story sizing.
• Perform data modeling and implement the business rules using Oracle database objects.
• Define source to target data mapping and data transformation logic per the business need.
• Develop data marts for various applications by integrating source data.
• Review the data models designed and developed for each module.
• Analysis of Big data with hands on experience in Big data Eco- system related technologies like Map Reduce, Spark, Hive, Impala, Sqoop, HBase, Kafka.
• Hands on development and maintenance of the Hadoop Platform and various associated components for data ingestion, transformation and processing.
• Develop and support RDBMS objects and code for data profiling, extraction, load and updates.
• Possess and demonstrate knowledge of data warehouse concepts, big data, architecture, techniques, various design alternatives, and overall data warehouse strategies.
• Exposure to Hadoop ecosystem (including HDFS, Spark, Sqoop, Flume, Hive, Impala, MapReduce, Sentry, Navigator)
• Design and implement real-time integration and data driven customer personalization using an API driven big data platform solution (SOAP, REST, OData).
• Design and develop data integration solutions (batch and real-time) to support enterprise data platforms including Hadoop, RDBMS and NoSQL.
• Experience with Hive/Spark SQL and performance tuning.
• Experience on Hadoop data ingestion using ETL tools, specifically Informatica Big Data Edition and Hadoop transformation (using MapReduce, Spark, Blaze)
Regards,
Rajit Ahuja
Net2Source Inc
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