Senior Data Integration Engineer — Informatica Lead

ITDS; Porto; Híbrido; EUR 55 000 - 75 000; Tempo integral

Resumo da oferta

ITDS is seeking a Senior Data Integration Engineer – Informatica PowerCenter in Porto, offering a hybrid work model. You will deliver scalable data solutions for Lease Applications in the financial services sector and lead the Porto engineering team.

You will design data architectures, develop ETL workflows with Informatica PowerCenter and IICS, optimize SQL, integrate diverse data sources, and ensure data quality while steering code reviews and best practices.

Qualificações

• 7+ years of experience as a Data Engineer/ETL Developer.
• Strong SQL and DBMS knowledge (Oracle, SQL Server, PostgreSQL, Teradata).
• Proficiency in Bash/Unix/Linux scripting.
• Solid understanding of data warehousing (Kimball/Inmon, star/snowflake).
• Fluent English in speaking and writing.

Responsabilidades

• Analyze functional and technical requirements to design data architectures.
• Develop, test, and deploy ETL workflows using Informatica PowerCenter and IICS.
• Write and optimize SQL queries, procedures, and automation scripts in Linux/Unix.
• Integrate diverse data sources including relational DBs, APIs, and cloud environments.
• Tune ETL pipelines for performance and reliability; ensure data integrity and quality.
• Automate scheduling and workflows with tools like Control-M or Jenkins.
• Serve as technical lead for the Porto engineering team and conduct code reviews.

Conhecimentos

ETL Development

SQL

Data Warehousing

Shell scripting

English fluency

Ferramentas

Informatica PowerCenter

Informatica IICS

Descrição da oferta de emprego

ITDS is seeking a Senior Data Integration Engineer – Informatica PowerCenter in Porto, offering a hybrid work model. You will deliver scalable data solutions for Lease Applications in the financial services sector and lead the Porto engineering team.

You will design data architectures, develop ETL workflows with Informatica PowerCenter and IICS, optimize SQL, integrate diverse data sources, and ensure data quality while steering code reviews and best practices.