Big Data with Financial Services

Job Description
• Background in all aspects of software engineering with strong skills in parallel data processing, data flows, REST APIs, JSON, XML, and micro service architecture.

• 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.

• Must have hands on experience in design, implementation, and build of applications or solutions using Core Java/Scala.

• Strong understanding of Hadoop fundamentals.

• Must have experience working on Big Data Processing Frameworks and Tools – MapReduce, YARN, Hive, Pig.

• Strong understanding of RDBMS concepts and must have good knowledge of writing SQL and interacting with RDBMS and NoSQL database - HBase programmatically.

• Strong understanding of File Formats – Parquet, Hadoop File formats.

• Proficient with application build and continuous integration tools – Maven, SBT, Jenkins, SVN, Git.

• Experience in working on Agile and Rally tool is a plus.

• Strong understanding and hands-on programming/scripting experience skills – UNIX shell, Python, Perl, and JavaScript.

• Should have worked on large data sets and experience with performance tuning and troubleshooting.

Preferred

• Knowledge of Java Beans, Annotations, Logging (log4j), and Generics is a plus.

• Knowledge of Design Patterns - Java and/or GOF is a plus.

• Knowledge of Spark, Spark Streaming, Spark SQL, and Kafka is a plus.

• Experience to Financial domain is preferred

• Experience and desire to work in a Global delivery environment

Qualifications
• Bachelor’s degree or foreign equivalent required. Will also consider one year of relevant work experience in lieu of every year of education

• At least 5 years of Design and development experience in Big data, Java or Datawarehousing related technologies

• Atleast 3 years of hands on design and development experience on Big data related technologies – PIG, Hive, Mapreduce, HDFS, HBase, Hive, YARN, SPARK, Oozie, Java and shell scripting

• Should be a strong communicator and be able to work independently with minimum involvement from client SMEs

• Should be able to work in team in diverse/ multiple stakeholder environment

Additional Information
Note : NO OPT, H1 for this position

Client : Infosys