AWS Step Functions, Azure Data Factory, UC4, Control-M). • Experience with data quality and validation. • Experience querying massive datasets using Spark, Presto, Hive, Impala, etc. • Experience in optimization of computer-vision applications. more »
high volume Java or Scala based data processing jobs using industry standard tools and frameworks in the Hadoop ecosystem, such as Spark, Kafka, Hive, Impala, Avro, Flume, Oozie, and Sqoop Design and maintain schemas in our analytics database. Excellent in writing efficient SQL for loading and querying data. Foresees more »
high volume Java or Scala based data processing jobs using industry standard tools and frameworks in the Hadoop ecosystem, such as Spark, Kafka, Hive, Impala, Avro, Flume, Oozie, and Sqoop Design and maintain schemas in our analytics database. Excellent in writing efficient SQL for loading and querying data. Foresees more »
high volume Java or Scala based data processing jobs using industry standard tools and frameworks in the Hadoop ecosystem, such as Spark, Kafka, Hive, Impala, Avro, Flume, Oozie, and Sqoop Design and maintain schemas in our analytics database. Excellent in writing efficient SQL for loading and querying data. Foresees more »
high volume Java or Scala based data processing jobs using industry standard tools and frameworks in the Hadoop ecosystem, such as Spark, Kafka, Hive, Impala, Avro, Flume, Oozie, and Sqoop Design and maintain schemas in our analytics database. Excellent in writing efficient SQL for loading and querying data. Foresees more »
high volume Java or Scala based data processing jobs using industry standard tools and frameworks in the Hadoop ecosystem, such as Spark, Kafka, Hive, Impala, Avro, Flume, Oozie, and Sqoop Design and maintain schemas in our analytics database. Excellent in writing efficient SQL for loading and querying data. Foresees more »
high volume Java or Scala based data processing jobs using industry standard tools and frameworks in the Hadoop ecosystem, such as Spark, Kafka, Hive, Impala, Avro, Flume, Oozie, and Sqoop Design and maintain schemas in our analytics database. Excellent in writing efficient SQL for loading and querying data. Foresees more »
high volume Java or Scala based data processing jobs using industry standard tools and frameworks in the Hadoop ecosystem, such as Spark, Kafka, Hive, Impala, Avro, Flume, Oozie, and Sqoop Design and maintain schemas in our analytics database. Excellent in writing efficient SQL for loading and querying data. Foresees more »
high volume Java or Scala based data processing jobs using industry standard tools and frameworks in the Hadoop ecosystem, such as Spark, Kafka, Hive, Impala, Avro, Flume, Oozie, and Sqoop Design and maintain schemas in our analytics database. Excellent in writing efficient SQL for loading and querying data. Foresees more »
high volume Java or Scala based data processing jobs using industry standard tools and frameworks in the Hadoop ecosystem, such as Spark, Kafka, Hive, Impala, Avro, Flume, Oozie, and Sqoop Design and maintain schemas in our analytics database. Excellent in writing efficient SQL for loading and querying data. Foresees more »
high volume Java or Scala based data processing jobs using industry standard tools and frameworks in the Hadoop ecosystem, such as Spark, Kafka, Hive, Impala, Avro, Flume, Oozie, and Sqoop Design and maintain schemas in our analytics database. Excellent in writing efficient SQL for loading and querying data. Foresees more »
high volume Java or Scala based data processing jobs using industry standard tools and frameworks in the Hadoop ecosystem, such as Spark, Kafka, Hive, Impala, Avro, Flume, Oozie, and Sqoop Design and maintain schemas in our analytics database. Excellent in writing efficient SQL for loading and querying data. Foresees more »
high volume Java or Scala based data processing jobs using industry standard tools and frameworks in the Hadoop ecosystem, such as Spark, Kafka, Hive, Impala, Avro, Flume, Oozie, and Sqoop Design and maintain schemas in our analytics database. Excellent in writing efficient SQL for loading and querying data. Foresees more »
high volume Java or Scala based data processing jobs using industry standard tools and frameworks in the Hadoop ecosystem, such as Spark, Kafka, Hive, Impala, Avro, Flume, Oozie, and Sqoop Design and maintain schemas in our analytics database. Excellent in writing efficient SQL for loading and querying data. Foresees more »
high volume Java or Scala based data processing jobs using industry standard tools and frameworks in the Hadoop ecosystem, such as Spark, Kafka, Hive, Impala, Avro, Flume, Oozie, and Sqoop Design and maintain schemas in our analytics database. Excellent in writing efficient SQL for loading and querying data. Foresees more »
high volume Java or Scala based data processing jobs using industry standard tools and frameworks in the Hadoop ecosystem, such as Spark, Kafka, Hive, Impala, Avro, Flume, Oozie, and Sqoop Design and maintain schemas in our analytics database. Excellent in writing efficient SQL for loading and querying data. Foresees more »
high volume Java or Scala based data processing jobs using industry standard tools and frameworks in the Hadoop ecosystem, such as Spark, Kafka, Hive, Impala, Avro, Flume, Oozie, and Sqoop Design and maintain schemas in our analytics database. Excellent in writing efficient SQL for loading and querying data. Foresees more »
high volume Java or Scala based data processing jobs using industry standard tools and frameworks in the Hadoop ecosystem, such as Spark, Kafka, Hive, Impala, Avro, Flume, Oozie, and Sqoop Design and maintain schemas in our analytics database. Excellent in writing efficient SQL for loading and querying data. Foresees more »
high volume Java or Scala based data processing jobs using industry standard tools and frameworks in the Hadoop ecosystem, such as Spark, Kafka, Hive, Impala, Avro, Flume, Oozie, and Sqoop Design and maintain schemas in our analytics database. Excellent in writing efficient SQL for loading and querying data. Foresees more »
high volume Java or Scala based data processing jobs using industry standard tools and frameworks in the Hadoop ecosystem, such as Spark, Kafka, Hive, Impala, Avro, Flume, Oozie, and Sqoop Design and maintain schemas in our analytics database. Excellent in writing efficient SQL for loading and querying data. Foresees more »
high volume Java or Scala based data processing jobs using industry standard tools and frameworks in the Hadoop ecosystem, such as Spark, Kafka, Hive, Impala, Avro, Flume, Oozie, and Sqoop Design and maintain schemas in our analytics database. Excellent in writing efficient SQL for loading and querying data. Foresees more »
high volume Java or Scala based data processing jobs using industry standard tools and frameworks in the Hadoop ecosystem, such as Spark, Kafka, Hive, Impala, Avro, Flume, Oozie, and Sqoop Design and maintain schemas in our analytics database. Excellent in writing efficient SQL for loading and querying data. Foresees more »
high volume Java or Scala based data processing jobs using industry standard tools and frameworks in the Hadoop ecosystem, such as Spark, Kafka, Hive, Impala, Avro, Flume, Oozie, and Sqoop Design and maintain schemas in our analytics database. Excellent in writing efficient SQL for loading and querying data. Foresees more »
Spark SQL Statements. * Experience in working with large databases - multi terabytes (3+ Terabytes). * Minimum of 5 years' experience in Big Data Space (Hive, Impala, Spark Sql, HDFS etc). * Any cloud experience (AWS/Azure/Google/Oracle). * Solid experience with Oracle objects(Packages,Procedure,functions more »
Spark SQL Statements. * Experience in working with large databases - multi terabytes (3+ Terabytes). * Minimum of 5 years' experience in Big Data Space (Hive, Impala, Spark Sql, HDFS etc). * Any cloud experience (AWS/Azure/Google/Oracle). * Solid experience with Oracle objects(Packages,Procedure,functions more »