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Drive foundational and applied research in reasoning engines, planning architectures, and decision-making frameworks at scale in order to incorporate genAI into the ranking / recommendation / personalization stack in both single model to multi-agent ( system ) level intelligence with objective to gr
Utilize tools for continuous integration and continuous deployment (CI/CD), and Infrastructure as Code (IaC) like Terraform to automate and improve development and release processes. Leverage GCP for scalable big data processing and storage solutions. The ideal candidate will have a strong backgroun
BigData and Hadoop Ecosystems, BigData and Hadoop Ecosystem - MapR. Must have good experience working in large scale application development using Big Data ecosystem. Hands-on experience with Snowflake utilities, SnowSQL, SnowPipe, Big Data model techniques using Python.
Mandatory Technical Skills Skills: PIG, Mapreduce, HDFS, HBase, Hive, YARN, SPARK, Impala, Kafka, Oozie, Java and shell scripting Strong hands on experience with Java, web-services and APIs Strong understanding of hadoop fundamentals Strong understanding of RDBMS concepts and experience with relatio
At least 2+ years of experience with Big Data & Analytics solutions Hadoop, MapReduce, Pig, Hive, Spark, Storm, Amazon Kinesis, AWS EMR, AWS RedShift, DynamoDB, Azure HDInsight, Azure Cortana Analytics, Azure Data Lake and other technologies. At least 4+ years of working on data management domain wi
Must have strong programming knowledge of Core Java or Scala - Objects & Classes, Data Types, Arrays and String Operations, Operators, Control Flow Statements, Inheritance and Interfaces, Exception Handling, Serialization, Collections, Reading and Writing Files. Strong understanding of RDBMS concept