Big Data Engineer - Java/Spark/Hadoop

Key Skills : Java, Apache Spark, Apache Kafka, Hadoop, AWS Job Description : - Designing, installing, testing, and maintaining scalable data management systems - Ensuring systems meet business requirements and industry standards - Creating custom software components and analytics applications - Research data acquisition opportunities and new uses for existing data - Developing data modeling, mining, and production processes Required Skills and Exp Level : - Strong Big Data Engineer with Minimum 3-6 YOE in Software Development - Must have experience (Current or Past) working with services company - Must have 2 years of recent project experience in Java - Experience in Data / Big Data Engineering Technologies anyone (e.g.

Hadoop, HBase, HDFS, Airflow, Spark, Kinesis, Glue, Data Lake, Lambda, Redshift, Data Factory, Data Lake Analytics, Cloud Data Engineering Technologies, Cloud Big Query, Cloud Data Flow, Cloud Data Lab, Cloud Dataplex, Cloud Data Proc, etc ) - Must have experience in any one - Spring or Spring boot - Mandatory (Education) - BE / BTech / (BCAMCA) (ref:hirist.tech)