Description

Job Description-
9 + years of experience in Java application development end to end.
Strong core java skills including multi-threading, collections API, JDBC and knowledge of Java profiling tools
Experience in using frameworks like spring, spring boot, JPA, Hibernate
Strong computer science fundamentals in design, data structures, and algorithms
Knowledge of performance tuning data intensive applications, Expertise in performance profiling, ability to identify performance improvements and memory optimizations
Expertise of SQL and NoSQL databases, as well as data integration and transformation tools
Strong knowledge of big data technologies and frameworks, such as Apache Hadoop, Apache Spark, Apache Kafka, Apache Hive, or Apache Flink.
Discover, ingest, and incorporate new sources of real-time, streaming, batch, and API-based data into our platform. Loading and managing large data in Hadoop. Computing complex logic in spark platforms.
Skills to optimize data pipelines and queries for better performance and scalability.
Strong problem-solving abilities and the capability to identify and resolve complex data engineering issues.
Leadership and mentoring skills, as senior data engineers often lead and guide other members of the data engineering team.
Excellent communication skills
BS/MS in Computer Science, Engineering, or any quantitative discipline
Desired Skills
Degree from outstanding university
Background in enterprise stress testing
Knowledge of risk (credit, operational and market)
Knowledge and/or experience working within the Hadoop or other big data distributed ecosystem.
Knowledge of cloud computing or distributed computing
5 + years of experience in Java UI technologies HTML5/Angular JS/Backbone JS/Bootstrap etc
Software development in Agile environment
Good to have Bigdata and Cloud (GCP) knowledge