Software Engineer jobs in Bangalore - RYPE Online Services Pvt. Ltd.

Apply Now View All Jobs by this Recruiter

  • Job View 18 Views
  • Applicants Less than 5 Applicants

Job Description

• 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.

Key Skills

Industry

Computer / IT

Functional Area

IT Software - Application Programming / Maintenance

Number of Vacancy

10

Education

B.Tech/B.E, M.Tech


About RYPE Online Services Pvt. Ltd.

• 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.

Learn more...

read more
Apply Now

Similar Jobs



Career Insights For Your Growth