Lead Big Data

Job description

• Translate application storyboards and use cases into functional applications.
• Design, build, and maintain efficient, reusable, and reliable Java code.
• Ensure the best possible performance, quality, and responsiveness of the applications.
• Identify bottlenecks and bugs, and devise solutions to these problems.
• Develop high performance & low latency components to run Spark clusters.
• Interpreting functional requirements into design approaches those can be served through Big Data platform.
• Collaborate and partner with Global Teams based across different locations.
• Be able to propose best practices and standards; handover to the operations.
• Perform the testing of software prototypes and transfer to the operational team.
• Processing of data using Hive, Impala & HBASE.
• Performing analysis of large data sets and derive insight.

Skills required

• Solid understanding of object-oriented programming and design pattern.
• 8+ Years of strong Java experience with Java 1.8 or higher version.
• Comfortable working with large data volumes and be able to demonstrate a firm understanding of logical data structures and analysis techniques Capable of assisting with the design of solutions and mentoring other developers within the same team Strong Core Java & Multithreading working experience
• Experience in Big data technologies like HDFS, Hive. HBASE, Apache Spark & Kafka Experience in building self-service platform agnostic data access apis Service oriented architecture, and data standards like JSON, Avro, Parquet
• Experience in building advanced analytical models based on business context Agile/Scrum methodology experience is required. Experience in SCMs like GIT; and tools like JIRA Strong systems analysis, design and architecture fundamentals, Unit Testing and other SDLC activities
• Experience in working on Linux shell scripting
• Experience in RDMS and No SQL databases
• Demonstrated analytical and problem-solving skills. -
• Application performance tuning, troubleshooting experience and the implementation of these skills in Big Data domain. Ability to write reliable, manageable, and high-performance code
• Good knowledge of database principles, practices, structures including SQL development experience preferably with Oracle. Knowledge of concurrency patterns & multithreading in Java.
• Familiarity with concepts of Domain Design, JDBC, and RESTful. Understanding fundamental design principles behind a scalable application.
• Proficient understanding of code versioning tools, such as Git. Basic Unix OS and scripting knowledge.