IBM Infosphere DataStage Engineer

5 days ago

Anywhere in IndiaMultiple Locations, IN Softtech Career Infosystem Pvt. Ltd. Full time

Job Description :

Mandatory required skills : IBM Infosphere DataStage Suite.

- Should know ERWIN data Modeling Tool design the logical/physical models.

- Develop and maintain data dictionaries and data models.

- 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.

(ref:hirist.tech)

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