forecasting resource requirements to ensure scalability and optimal performance of the Hadoop infrastructure. Installing and configuring Hadoop clusters, including components like HDFS, YARN, MapReduce, Hive, HBase, etc. Ensuring the health and performance of Hadoop clusters through constant monitoring, troubleshooting, and tuning. more »
their requirements and provide efficient solutions. Your responsibilities will include but are not limited to: Installing, configuring, and maintaining Hadoop clusters, including HDFS, YARN, Hive, HBase, Kafka, Spark, and other related technologies. Monitoring cluster health and performance, diagnosing and troubleshooting issues, and implementing solutions to minimize downtime. Capacity planning more »
required) Experience with distributed message brokers using Kafka (required) Experience with high speed distributed computing frameworks such as AWS EMR, Hadoop, HDFS, S3, MapReduce, Apache Spark, ApacheHive, Kafka Streams, Apache Flink etc. (required) Working knowledge of DevOps tools. Eg Terraform, Ansible, Jenkins, Kubernetes, Helm and more »
required) Experience with distributed message brokers using Kafka (required) Experience with high speed distributed computing frameworks such as AWS EMR, Hadoop, HDFS, S3, MapReduce, Apache Spark, ApacheHive, Kafka Streams, Apache Flink etc. (required) Working knowledge of DevOps tools. Eg Terraform, Ansible, Jenkins, Kubernetes, Helm and more »
data management (MDM) – Concepts and expertise in tools like Informatica & Talend MDM Big data – Hadoop eco-system, Distributions like Cloudera/Hortonworks, Pig and HIVE Data processing frameworks – Spark & Spark streaming Hands-on experience with multiple databases like PostgreSQL, Snowflake, Oracle, MS SQL Server, NOSQL (HBase/Cassandra, MongoDB more »
Minimum Qualifications Bachelors or Masters Degree in Engineering or Computer Applications Hands-on experience with MS SQL Server and GCP Familiarity with BQ, Spark, Hive, Pig, and other analytical tools. Understanding of finance domain. Preferred Qualification Experience in SAP data modelling Genpact is an Equal Opportunity Employer and considers more »
maintain 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. … technologies, languages, and techniques in the rapidly evolving world of high-volume data processing. Technologies We Use: Development languages/frameworks : Java/Scala, Apache Spark, Kafka, Vertica, JavaScript (React/Redux), MicroStrategy Amazon : EMR, Step Functions, SQS, LaMDA and AWS cloud-native architectures DevOps Tools : Terraform or Cloud more »
maintain 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. … technologies, languages, and techniques in the rapidly evolving world of high-volume data processing. Technologies We Use: Development languages/frameworks : Java/Scala, Apache Spark, Kafka, Vertica, JavaScript (React/Redux), MicroStrategy Amazon : EMR, Step Functions, SQS, LaMDA and AWS cloud-native architectures DevOps Tools : Terraform or Cloud more »
maintain 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. … technologies, languages, and techniques in the rapidly evolving world of high-volume data processing. Technologies We Use: Development languages/frameworks : Java/Scala, Apache Spark, Kafka, Vertica, JavaScript (React/Redux), MicroStrategy Amazon : EMR, Step Functions, SQS, LaMDA and AWS cloud-native architectures DevOps Tools : Terraform or Cloud more »
maintain 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. … technologies, languages, and techniques in the rapidly evolving world of high-volume data processing. Technologies We Use: Development languages/frameworks : Java/Scala, Apache Spark, Kafka, Vertica, JavaScript (React/Redux), MicroStrategy Amazon : EMR, Step Functions, SQS, LaMDA and AWS cloud-native architectures DevOps Tools : Terraform or Cloud more »
maintain 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. … technologies, languages, and techniques in the rapidly evolving world of high-volume data processing. Technologies We Use: Development languages/frameworks : Java/Scala, Apache Spark, Kafka, Vertica, JavaScript (React/Redux), MicroStrategy Amazon : EMR, Step Functions, SQS, LaMDA and AWS cloud-native architectures DevOps Tools : Terraform or Cloud more »
maintain 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. … technologies, languages, and techniques in the rapidly evolving world of high-volume data processing. Technologies We Use: Development languages/frameworks : Java/Scala, Apache Spark, Kafka, Vertica, JavaScript (React/Redux), MicroStrategy Amazon : EMR, Step Functions, SQS, LaMDA and AWS cloud-native architectures DevOps Tools : Terraform or Cloud more »
maintain 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. … technologies, languages, and techniques in the rapidly evolving world of high-volume data processing. Technologies We Use: Development languages/frameworks : Java/Scala, Apache Spark, Kafka, Vertica, JavaScript (React/Redux), MicroStrategy Amazon : EMR, Step Functions, SQS, LaMDA and AWS cloud-native architectures DevOps Tools : Terraform or Cloud more »
maintain 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. … technologies, languages, and techniques in the rapidly evolving world of high-volume data processing. Technologies We Use: Development languages/frameworks : Java/Scala, Apache Spark, Kafka, Vertica, JavaScript (React/Redux), MicroStrategy Amazon : EMR, Step Functions, SQS, LaMDA and AWS cloud-native architectures DevOps Tools : Terraform or Cloud more »
maintain 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. … technologies, languages, and techniques in the rapidly evolving world of high-volume data processing. Technologies We Use: Development languages/frameworks : Java/Scala, Apache Spark, Kafka, Vertica, JavaScript (React/Redux), MicroStrategy Amazon : EMR, Step Functions, SQS, LaMDA and AWS cloud-native architectures DevOps Tools : Terraform or Cloud more »
maintain 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. … technologies, languages, and techniques in the rapidly evolving world of high-volume data processing. Technologies We Use: Development languages/frameworks : Java/Scala, Apache Spark, Kafka, Vertica, JavaScript (React/Redux), MicroStrategy Amazon : EMR, Step Functions, SQS, LaMDA and AWS cloud-native architectures DevOps Tools : Terraform or Cloud more »
maintain 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. … technologies, languages, and techniques in the rapidly evolving world of high-volume data processing. Technologies We Use: Development languages/frameworks : Java/Scala, Apache Spark, Kafka, Vertica, JavaScript (React/Redux), MicroStrategy Amazon : EMR, Step Functions, SQS, LaMDA and AWS cloud-native architectures DevOps Tools : Terraform or Cloud more »
maintain 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. … technologies, languages, and techniques in the rapidly evolving world of high-volume data processing. Technologies We Use: Development languages/frameworks : Java/Scala, Apache Spark, Kafka, Vertica, JavaScript (React/Redux), MicroStrategy Amazon : EMR, Step Functions, SQS, LaMDA and AWS cloud-native architectures DevOps Tools : Terraform or Cloud more »
maintain 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. … technologies, languages, and techniques in the rapidly evolving world of high-volume data processing. Technologies We Use: Development languages/frameworks : Java/Scala, Apache Spark, Kafka, Vertica, JavaScript (React/Redux), MicroStrategy Amazon : EMR, Step Functions, SQS, LaMDA and AWS cloud-native architectures DevOps Tools : Terraform or Cloud more »
maintain 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. … technologies, languages, and techniques in the rapidly evolving world of high-volume data processing. Technologies We Use: Development languages/frameworks : Java/Scala, Apache Spark, Kafka, Vertica, JavaScript (React/Redux), MicroStrategy Amazon : EMR, Step Functions, SQS, LaMDA and AWS cloud-native architectures DevOps Tools : Terraform or Cloud more »
maintain 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. … technologies, languages, and techniques in the rapidly evolving world of high-volume data processing. Technologies We Use: Development languages/frameworks : Java/Scala, Apache Spark, Kafka, Vertica, JavaScript (React/Redux), MicroStrategy Amazon : EMR, Step Functions, SQS, LaMDA and AWS cloud-native architectures DevOps Tools : Terraform or Cloud more »
maintain 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. … technologies, languages, and techniques in the rapidly evolving world of high-volume data processing. Technologies We Use: Development languages/frameworks : Java/Scala, Apache Spark, Kafka, Vertica, JavaScript (React/Redux), MicroStrategy Amazon : EMR, Step Functions, SQS, LaMDA and AWS cloud-native architectures DevOps Tools : Terraform or Cloud more »
maintain 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. … technologies, languages, and techniques in the rapidly evolving world of high-volume data processing. Technologies We Use: Development languages/frameworks : Java/Scala, Apache Spark, Kafka, Vertica, JavaScript (React/Redux), MicroStrategy Amazon : EMR, Step Functions, SQS, LaMDA and AWS cloud-native architectures DevOps Tools : Terraform or Cloud more »
maintain 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. … technologies, languages, and techniques in the rapidly evolving world of high-volume data processing. Technologies We Use: Development languages/frameworks : Java/Scala, Apache Spark, Kafka, Vertica, JavaScript (React/Redux), MicroStrategy Amazon : EMR, Step Functions, SQS, LaMDA and AWS cloud-native architectures DevOps Tools : Terraform or Cloud more »
maintain 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. … technologies, languages, and techniques in the rapidly evolving world of high-volume data processing. Technologies We Use: Development languages/frameworks : Java/Scala, Apache Spark, Kafka, Vertica, JavaScript (React/Redux), MicroStrategy Amazon : EMR, Step Functions, SQS, LaMDA and AWS cloud-native architectures DevOps Tools : Terraform or Cloud more »
