The Applications Development Technology Lead Analyst is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is
• 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
The Applications Development Technology Lead Analyst is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is
• 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,
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.
• 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