Common accountabilities: - Manages a team of Staff employees and has accountability for their performance and results. Sets performance objectives, conducts performance reviews and recommends pay actions. - Defines a vision for the team in line
Candidate should be able to: Consult with business stakeholders and translate their requirements into analytics and reports on the data lake Design and implement a data catalog that democratizes data access in a secure way Develop
Role: Data Engineer (2-3 YEARS)- 5 POSITIONS Responsibilities: Data Engineer will work on collecting, storing, processing, and analyzing huge sets of data The primary focus will be on choosing optimal solutions to use for these purposes,
• Developing the Best practices documentation to the Application Developer partners to educate how to use the Cloudera Services. • install/Configure/Maintain Apache Cloudera tools like Hive, Impala, Sqoop, Flume, Kafka, HBase, SOLR, and File formats like Avro, Parquet.
Candidate should be able to: Coordinate Development, Integration, and Production deployments. Optimize Spark code, Impala queries, and Hive partitioning strategy for better scalability, reliability, and performance. Build applications using Maven, SBT and integrated with continuous integration
Candidate should be able to: Coordinate Development, Integration, and Production deployments. Optimize Spark code, Impala queries, and Hive partitioning strategy for better scalability, reliability, and performance. Build applications using Maven, SBT and integrated with continuous integration
Develop, test, and deploy data processing applications using Apache Spark and Scala. Optimize and tune Spark applications for better performance on large-scale data sets. Work with the Cloudera Hadoop ecosystem (., HDFS, Hive, Impala, HBase, Kafka) to
• Developing the Best practices documentation to the Application Developer partners to educate how to use the Cloudera Services. • install/Configure/Maintain Apache Cloudera tools like Hive, Impala, Sqoop, Flume, Kafka, HBase, SOLR, and File formats like Avro, Parquet.
• Developing the Best practices documentation to the Application Developer partners to educate how to use the Cloudera Services. • install/Configure/Maintain Apache Cloudera tools like Hive, Impala, Sqoop, Flume, Kafka, HBase, SOLR, and File formats like Avro, Parquet.
Candidate should be able to: Coordinate Development, Integration, and Production deployments. Optimize Spark code, Impala queries, and Hive partitioning strategy for better scalability, reliability, and performance. Build applications using Maven, SBT and integrated with continuous integration
Candidate should be able to: Coordinate Development, Integration, and Production deployments. Optimize Spark code, Impala queries, and Hive partitioning strategy for better scalability, reliability, and performance. Build applications using Maven, SBT and integrated with continuous integration
Candidate should be able to: Consult with business stakeholders and translate their requirements into analytics and reports on the data lake Design and implement a data catalog that democratizes data access in a secure way Develop
Candidate should be able to: Consult with business stakeholders and translate their requirements into analytics and reports on the data lake Design and implement a data catalog that democratizes data access in a secure way Develop
Candidate should be able to: Coordinate Development, Integration, and Production deployments. Optimize Spark code, Impala queries, and Hive partitioning strategy for better scalability, reliability, and performance. Build applications using Maven, SBT and integrated with continuous integration
Candidate should be able to: Consult with business stakeholders and translate their requirements into analytics and reports on the data lake Design and implement a data catalog that democratizes data access in a secure way Develop