Engineer / Senior Engineer / Technical Lead – Big Data

  • icon job experience 2 - 7 Years
  • icon job opening 10 Openings
  • icon salary 20.0-32.5 Lac/Yr
  • icon job location Bengaluru

Key Skills

Big Data Hadoop SCALA Spark Java

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.

Experience : 2 - 7 Years

No. of Openings : 10

Education : B.Tech/B.E, M.Tech

Role : Software Engineer

Industry Type : IT-Hardware & Networking / IT-Software / Software Services

Gender : [ Male / Female ]

Job Country : India

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.
Read More...

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