Job Description:

- Bachelor’s Degree or Master’s in Computer Science, Engineering, Software Engineering or a relevant field.

- 10+ years of software development experience building large scale distributed data processing systems/application or large scale internet systems.

- Must have Good communication skills, writing clean code.

- Strong experience in Python, Kafka, Spark, SQL ,Hive, Couchbase, Impala, Hadoop, Splunk, Autosys, shell scripting etc.

- Experience in DevOps Activity ( Snow, Build (TeamCity, Jenkins) and UDeploy.

- Good knowledge on Capital Market and Data Analysis.

- Experience in dealing with Huge Volume of Data operations.

- Design best architecture and select the most appropriate modeling techniques and data visualization for big data analysis.

- Performance analysis, troubleshooting and resolution (this includes familiarity and investigation of Cloudera/Hadoop logs)

- Experience with Linux-based infrastructures, Linux/Unix administration, and Cloud.

Must to have:

1. Strong experience in Python, Kafka, Spark, SQL ,Hive, Impala, Hadoop, Splunk, Autosys, shell scripting etc.

3. Data Analysis and Data Wrangling skills when dealing with Huge Volume(1B+ Transaction)

4. Performance analysis, troubleshooting and resolution including Cloudera Big Data(PySprak ) eco system.

5. Experience with Linux-based infrastructures.

Nice to Have:

• Bachelor’s Degree or Master’s in Computer Science, Engineering, Software Engineering or a relevant field.

• Understanding of capital markets and financial derivatives (rates or other)

• Experience in UI design, JavaScript and Angular charting, Graph.

• Experience with CI/CD pipelines

• Experience with Machine learning and Artificial Intelligence is a plus

• Test-driven development, including Unit and End-to-End Testing.

Competencies:

• Strong verbal and written communication skills; ability to face off to business users

• Self-motivated individual and with determination to achieve goals

• Willingness to learn, both technically and professionally

• Strong analytical and problem solving skills

• Good team working skills and ability to work in a distributed global team environment

• Ability to work on a fast-pace environment; Flexible and able to deliver quality results in the required timeframe

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