Join our Team About This Opportunity We are looking for a skilled and experienced GCP Infrastructure Engineer to join our engineering team in India. In this role, you will be at the heart of building, optimizing,
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
Exp: 14-18 yrs Notice: Immediate to 30 Days Skills Required: at least 3 + years’ experience in Architecture Role: GCP Architect Primary Roles and Responsibilities: ? Selecting and integrating any Big Data tools and frameworks required
• 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
At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and
The opportunity We’re looking for Managers (GTM +Cloud/ Big Data Architects) with strong technology and data understanding having proven delivery capability in delivery and pre sales. This is a fantastic opportunity to be part of a
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