MustHave : Informatica Hadoop Unix Scripting SQL Banking background As a Hadoop ETL Developer to support production (L3) in Treasury ADS individual will be responsible for understanding design propose high level and detailed design solutions propose out of box technical solutions for resolving business problems and technical problems arise during the real time in production. Individual should be flexible to work on the weekends at least once in a month. May get compoff during weekdays.As an individual contributor in BAU person should have good analytical skills to take a quick decision during the tough times. Engage in discussions with information architecture team for coming out with design solutions proposing new technology adoption ideas attending project meetings partnering with near shore and offshore teammates in a matrix environment coordinating with other support teams like L2 development testing upstream and downstream partners etc.
support activities like analysis coding propose improvement ideas drive the development activities at offshore.
Able to think over in a quick turnaround time to address the situation in production.
Work on multiple projects concurrently take ownership pride in the work done by them attending project meetings understanding requirements designing solutions developing code
Partnering with near shore and offshore teammates in a matrix environment coordinating with other support teams like L2 development testing up/down stream partners etc.
Work with the Business Analysts to understand the requirements work on high level detailed design to address the real time issues in production.
Work with Information Architecture team for proposing technical solutions to business problems
Identify gaps in technology and propose viable solutions
Take accountability of the technical deliveries from offshore
Understand Hadoop Spark Python and other Eco Systems like Impala Hive Oozie Pig etc. Autosys and UNIX Shell Scripting. Work with the development teams and QA during the post code development phase
Identify improvement areas within the application and work with the respective teams to implement the same
Ensuring adherence to defined process quality standards best practices high quality levels in all deliverables
Adhere to teams governing principles and policies
Strong working knowledge of ETL database technologies big data and data processing skills
3 years of experience developing ETL solutions using any ETL tool like Informatica SSIS etc.
3 years of experience developing applications using Hadoop Spark Impala Hive Python.
3 years of experience in running using and troubleshooting the ETL Cloudera Hadoop Ecosystem i.e. Hadoop FS Hive Impala Spark Kafka Hue Oozie Yarn Sqoop Flume.
Experience on Autosys JIL scripting.
Proficient scripting skills i.e. Unix shell Perl Scripting
Experience troubleshooting datarelated issues.
Experience processing large amounts of structured and unstructured data with MapReduce.
Experience in SQL and Relation Database developing data extraction applications.
Experience with data movement and transformation technologies.
Good to have experience in Python / Scala programming
Have a good understanding of the E2E process of the application
Have a good understanding of all aspects of the application like upstream database model data processing and data distribution layers.
etl,hadoop,scripting,etl,application,offshore,informatica administration,post-production support
