About Delhivery: Delhivery is Indias leading fulfillment platform for digital commerce. With a vast logistics network spanning 18,000+ pin codes and over 2,500 cities, Delhivery provides a comprehensive suite of services including express parcel transportation, freight
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
• Azure Data Factory • Azure Databricks • Python, Scala, PySpark, Spark • HIVE / HIVE LLAP / HBASE / CosmoDb • Azure Active Directory Domain Services • Apache Ranger / Apache Ambari • Azure Key Vault • Expertise
• Building efficient storage for structured and unstructured data • Transform and aggregate the data using data processor technologies • Developing and deploying distributed computing Big Data applications using Open Source frameworks like Apache Spark, Apex, Flink,
• Experience with Hadoop and the HDFS Ecosystem • Strong Experience with Apache Spark, Storm, Kafka is a must. • Experience with Python, R, Pig, Hive, Kafka, Knox, Tomcat and Ambari • Experience with MongoDB • A
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
• 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.