Senior BigData Developer (Java/Python, Spark, Hive, Hadoop, SQL)

Project Description:

During the 2008 financial crisis, many big banks failed or faced issues due to liquidity issues. Lack of liquidity can kill any financial institution over the night. That's why it's so critical to constantly monitor liquidity risks and properly maintain collaterals.

We are looking for a number of talented developers, who would like to join our team in Pune, which is building liquidity risk and collateral management platform for one of the biggest investment banks over the globe. The platform is a set of front-end tools and back-end engines. Our platform helps the bank to increase efficiency and scalability, reduce operational risk and eliminate the majority of manual interventions in processing margin calls.

Responsibilities:The candidate will work on development of new functionality for Liqudity Risk platform closely with other teams over the globe.

Mandatory Skills Description:

- BigData experience (6 years+);

- Java/python J2EE, Spark, Hive;

- SQL Databases; UNIX Shell;

- Strong Experience in Apache Hadoop, Spark, Hive, Impala, Yarn, Talend, Hue;

- Big Data Reporting, Querying and analysis.

Nice-to-Have Skills:

- Spark Calculators based on business logic/rules

- Basic performance tuning and troubleshooting knowledge

- Experience with all aspects of the SDLC

- Experience with complex deployment infrastructures

- Knowledge in software architecture, design and testing

- Data flow automation (Apache NiFi, Airflow etc)

- Understanding of difference between OOP and Functional design approach

- Understanding of an event driven architecture

- Spring, Maven, GIT, uDeploy;

Languages:

English: B2 Upper Intermediate