Informatica Architect with Knime

Overview

Remote
Depends on Experience
Contract - Independent
Contract - W2
Contract - 6 Month(s)

Skills

informatica architect
informatica
architect
knime
powercenter

Job Details

Informatica Architect with KNIME

Job Description:

We are seeking a Informatica Architect with knowledge of KNIME to join our team. As an Informatica Architect, you will be responsible for designing, developing, implementing, and maintaining data integration solutions using Informatica PowerCenter along with KNIME. Your primary focus will be on architecting efficient and scalable data workflows, ensuring data quality, and optimizing performance.

Responsibilities:

Architect, design, and implement end-to-end data integration solutions using Informatica PowerCenter and KNIME.

Collaborate with stakeholders to gather requirements and translate them into technical specifications.

Develop data integration workflows, mappings, and transformations to extract, transform, and load (ETL) data from various sources into target systems.

Design and implement data quality processes to ensure the accuracy, completeness, and consistency of data.

Optimize data integration processes for performance and scalability, considering factors such as volume, velocity, and variety of data.

Provide technical leadership and guidance to development teams throughout the project lifecycle.

Conduct code reviews, performance tuning, and troubleshooting to ensure the stability and efficiency of data integration solutions.

Stay updated on emerging technologies and best practices in data integration, particularly in the Informatica and KNIME ecosystems.

Collaborate with other architects, developers, and stakeholders to define overall data architecture and integration strategies.

Requirements:

Proven experience as an Informatica Architect, with hands-on experience in designing and implementing Informatica PowerCenter solutions.

Experience in KNIME analytics platform with demonstrated experience in building workflows, data preprocessing, and predictive analytics.

In-depth knowledge of data integration concepts, ETL methodologies, and best practices.

Experience in designing and optimizing relational databases (e.g., Oracle, SQL Server, MySQL).

Proficiency in SQL and scripting languages.