Senior data engineer (azure / oracle)

We are seeking an experienced and highly skilled Senior Data Engineer to design, build, and optimize scalable data pipelines and architectures. The ideal candidate will have strong expertise in database technologies, ETL processes, and cloud platforms, with a focus on delivering high-quality data solutions to support business intelligence and analytics initiatives.Key Responsibilities:Design, develop, and maintain robust ETL pipelines using tools such as Pentaho or Apache Ni FiDevelop and optimize complex queries, stored procedures, and functions in Oracle PL/SQL and Postgre SQLBuild and manage scalable data architectures and data warehousing solutionsWork with Google Cloud Platform (GCP) services to support data processing and storage needsAdminister and support BI tools such as Qlik Sense and/or TableauCollaborate with cross-functional teams to understand data requirements and deliver efficient solutionsEnsure data quality, integrity, and performance optimization across systemsUtilize Python or similar scripting languages for automation and data processing tasksRequired Skills & Qualifications:7+ years of hands-on experience in Data Engineering or similar technical rolesStrong proficiency in Oracle PL/SQL and Postgre SQL (procedures, functions, query optimization)Expertise in ETL tools such as Pentaho or Apache Ni FiExperience with BI tools such as Qlik Sense and/or TableauSolid experience working with Google Cloud Platform (GCP)Strong understanding of data warehousing, data modeling, and optimization techniquesProficiency in Python or similar scripting languagesExcellent analytical, problem-solving, and communication skills