Vacancy expired!
- Bachelor’s degree (in science, computers, information technology or engineering)
- Person with overall 8-12 years of experience, working in similar roles across banking or services technology; Knowledge of Corporate banking and trade finance is preferred
- Strong domain experience in Corporate Banking/Trades
- Well versed with SDLC life cycle having exposure to various Phases
- Strong hands-on working experience in multiple Big data and Cloud technologies
- Good to have Data warehouse exposure.
- Min. 4-6 years of working experience as Senior Big Data specialize or architect in Corporate / Retail Banking domain
- 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
- Java working experience
- Python 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
- Experience in Migration of SQL server code, VBA code to Other
- Talend ETL experience preferred
- Java Certification a plus
Vacancy expired!