About The Role As Senior Data Analyst will contribute to various phases and activities of the software development process or software testing. Candidate must be willing to work in a fast-paced, multi-tasking, team environment, the engineer
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
• 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: 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
Roles and Responsibilities The Role-Senior Manager or Sr Developer We are looking for a Senior Manager or Sr Developer to lead our key product development. This role will report directly to the AVP and will be
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
Ready to build the future with AI? At Genpact, we don’t just keep up with technology—we set the pace. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first
Position Description: Company Profile: Founded in , CGI is among the largest independent IT and business consulting services firms in the world. With 94, consultants and professionals across the globe, CGI delivers an end-to-end portfolio of
Position Description: Company Profile: At CGI, we’re a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72, professionals located in
HARMAN’s engineers and designers are creative, purposeful and agile. As part of this team, you’ll combine your technical expertise with innovative ideas to help drive cutting-edge solutions in the car, enterprise and connected ecosystem. Every day,
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
• 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
Description & SummaryA career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational
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