ETL/INFORMATICA ARCHITECT

Scadea Solutions Inc

• $100K — $130K *

Los Angeles, CA 90011In-Person

Finance & Insurance

8 - 10 years of experience

Today

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Job Overview by Ladders

Qualifications

8-10 years of experience in Data Warehousing and Business Intelligence.
Proficient in ETL architecture and design using Informatica.
Strong understanding of dimensional modeling and data warehousing concepts.
Experience in the banking domain is essential.
Bachelor's degree required.

Responsibilities

Analyze business requirements and processes for effective ETL solutions.
Design and develop end-to-end Business Intelligence solutions.
Translate user requirements into technical specifications.
Design data warehouse tables and mappings from sources to clients.
Optimize ETL performance and enforce best practices in repository management.

Benefits

Opportunity for career growth in a dynamic environment.
Exposure to advanced ETL technologies and methodologies.
Involvement in complex projects within the banking sector.

Full Job Description

Reach me at venkat.ram AT scadea DOT net

Hello !!

We have an immediate Full-Time opportunity for ETL/ Informatica in Los Angeles, CA. Please find the details below.If this interests you, please share you updated resume at the earliest or call me at .

Visa: USC/GC

Desired skills and responsibilities:

8-10 years of real DW BI experience.
Good understanding on ETL architecture.
Good understanding of Dimensional modeling
Should have experience with ETL design work
Should be worked with Banking domain
Understand the business and customer needs to introduce technical solutions.
Analyze business requirements/processes and system integration points to design & develop end-to-end BI solution.
Strong experience in developing Informatica ETL.
Good knowledge in performance tuning and enforcing repository best practices.
Translate user requirements into technical solutions.
Design and develop meta data model to meet user analytic requirements.
Design of data warehouse tables, including source to Client mappings.
Sound understanding and experience with data modelling, including multi-dimensional modelling, ETL and metadata development.