Required IBM Infosphere Datastage-Onsite-TX
Job Role: IBM Infosphere DataStage
Location: Plano, TX (5 days work from office, from Day1 onsite joining require, no exception)
EXP-8+ YREARS
Job Description
Mandatory required skills: IBM Infosphere DataStage Suite.
1. Should know ERWIN data Modeling Tool design the logical/physical models.
2. Develop and maintain data dictionaries and data models.
3. ETL/Database concepts and Snowflake concepts is added advantage.
• Should have 5 to 8 years of experience in ETL Design and Development using IBM DataStage Components.
• Should have worked at least 3 years in DataStage 9.1 or later.
• Should have extensive knowledge in Python.
• Should have extensive knowledge in Unix shell scripting.
• Thorough Understanding of DW principles (Fact, Dimension tables, Dimensional Modelling and Data warehousing concepts).
• Research, development, document and modification of ETL processes as per data architecture and modeling requirements.
• Ensure appropriate documentation for all new development and modifications of the ETL processes and jobs.
• Should have worked either Insurance or Banking domain.
• Should have extensive working experience with different Data Sources like Netezza, Oracle Databases, snowflake, DB2 etc.
• Should be very good in writing complex SQL queries.
• Experience in translating functional or non-functional requirements to system requirements.
• Exposure to scheduling tools like BMC Control-M.
• Experience in agile methodologies is desirable.
• Exposure to Big Data technologies will be an added advantage.
• End to end understanding of source->ETL->Application layer->Reporting.
• Must have good Oral, written & presentation skills to interact with business & technical teams on day-to-day basis as it's a client facing role.
• Should be self-driven and able to run the show with minimal or no assistance.
• Strong experience on building data pipelines on the cloud, on-prem preferably on AWS
• Experience with large scale analytical solutions on Snowflake – in-depth experience with Snowflake architecture, optimization levers, cost management principles, etc.
• Strong knowledge in DW Concepts, Dimensional Modeling, SCD2, Data modeling, ETL/ELT, Data, and Information Management.
• Strong in RDBMS and SQL Knowledge.
Thivya Jothi
US IT Recruiter | Techorbit
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Thanks