What you will do:

• You will be responsible for product features related to data transformations, enrichment, and analytics

• You will discuss with product managers, UX designers, and other backend teams to understand requirements and translate the same into functional specifications

• You will seize every opportunity to refactor code in the interests of maintainability and reusability

• Lead and Provide technical direction and mentorship to junior engineers and bring out the best in them

• The ideal candidate has a proven track record of building large scale enterprise products, and is a creative thinker, problem solver, learner, and a fantastic manager of people, and is motivated with engineering excellence.

Qualifications

Requirements:

• Education: BS Computer Science or Equivalent

• Minimum 9 years of software development experience

• Experience in Core Java, Concurrency, and Distributed Computing

• Experience in building high performance, scalable web services

• Experience using batch and stream processing frameworks like Spark/Kafka Streaming, Spring batch or equivalent

• Experience developing microservices and APIs

• Proficiency with Tomcat installation and configuration.

• Proficiency with Maven (preferred) or Gradle builds and dependency management systems.

• 5+ years experience writing unit test, stubs, mocks in a TDD environment using JUnit, REST Assured, or TestNG

• Experience with CI CD systems such as Jenkins or Bamboo

• Metrics-driven development experience and experience using metrics systems like Grafana, Prometheus, etc

Desired skills:

• Ability to write code that can perform efficiently in a big data setup

• Experience with big-data technologies like Spark, Redshift, etc.

• Strong knowledge of various DBMS systems including NoSQL architectures and design principles

• Experience tuning JVM for optimal application performance

• Successfully delivered software products from ideation through to implementation and support

• Experience with any Graph Database like AWS Neptune, Neo4j, Spark Graphx, etc.

• Understanding of statistics and machine learning