Application Developer- Python Spark - Assistant Vice President

•  Demonstrated analytical and problem-solving skills. Application performance tuning, troubleshooting experience and the implementation of these skills in Big Data domain. 
•  Comfortable working with large data volumes and be able to demonstrate a firm understanding of logical data structures and analysis techniques. 
•  Minimum 2 years’ experience in Big data technologies like HDFS, Map Reduce, YARN, Apache Spark, Hive. 
•  Familiarity with data formats like Avro, Parquet, CSV, JSON.

•  Working experience with AI tools and have understand about efficient use of AI and writing prompts to get the solution implemented. 
•  Strong systems analysis, design and architecture fundamentals, Unit Testing and other SDLC activities. 
•  Understanding fundamental design principles behind a scalable application. 
•  Experience in working with UNIX/LINUX and shell scripting. 
•  Good knowledge of database principles, practices with SQL. 
•  Application performance tuning, troubleshooting experience and the implementation of these skills in Big Data domain. Good to Have: 
•  Agile/Scrum methodology experience is required. 
•  Experience in SCMs like GIT and tools like JIRA. 
•  Experience in No SQL databases. 
•  Familiarity with build tools such as Maven and continuous integration like Jenkins/Team City. 
•  Familiarity with cloud and container technologies. 
•  Experience real time data processing - Kafka. 
Responsibilities: 
•  Translate application storyboards and use cases into functional applications. 
•  Design, build, and maintain efficient, reusable, and reliable Python/Scala 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. 
•  Perform the testing of software prototypes and transfer to the operational team. 
•  Processing of data using Hive, Impala. 
•  Performing analysis of large data sets and derive insights.

Qualifications:

7 to 10 Years of strong experience with one or more programming languages (Python/Spark).