RYPE Online Services Pvt. Ltd. Hyderabad, Telangana

Degree in software engineering, computer science, informatics or a similar field. 2-7 years of relevant work experience in Big Data or distributed computing projects. Experience in designing and implementing Big Data/ML applications (data ingestion, real-time data processing and batch analytics) in Spark Streaming, Kafka, Hadoop. Solid server-side programming skills (Scala, Nodejs, or Java), and hands-on experience in OOAD, design patterns, and SQL. Experience with microservice architecture, and design. Experience on Hadoop-ecosystem technologies in particular MapReduce, Spark, Hive, YARN. Experience working on any one distributed database system like Hadoop (Hive/HDFS), Qubole, Teradata, Redshift, or DB2. Solid experience building APIs (REST), Java services, or Docker Microservices. Good knowledge of database structures, theories, principles, and practices. Familiarity with data loading tools like Flume, Sqoop. Knowledge of workflow/schedulers like Oozie. Analytical and problem solving skills, applied to Big Data domain. Proven understanding with Hadoop, Hive, Pig, and HBase. Good aptitude in multi-threading and concurrency concepts.