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Senior Data Integration Engineer
Salary undisclosed
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Key Responsibilities: Data Integration & Development: Design, develop, and maintain data pipelines using Cloudera, Informatica, and Teradata. Process and transform data for the Enterprise Data Warehouse (EDW) environment. Analytics & Reporting: Develop reports and dashboards using QlikSense and MS Power BI. Utilize Python and R for data analysis and predictive modeling. Collaboration: Work closely with business teams to understand data requirements and deliver effective solutions. Partner with team members to enhance data processes and quality. Optimization & Automation: Improve data pipeline performance and efficiency. Implement automation and monitoring for seamless data operations. Support & Troubleshooting: Provide technical support for data systems and resolve issues. Ensure data availability for analytics and reporting needs. Documentation & Reporting: Maintain clear documentation of data solutions and processes. Provide regular updates on project progress and system performance. Required Skills & Qualifications: Technical Skills: Expertise in Cloudera Hadoop (6.X), Teradata Inteliflex, and Informatica. Proficiency in Python, R, and Kafka. Experience in data integration, ETL, and data modeling. Familiarity with QlikSense and MS Power BI for reporting and dashboard creation. Strong knowledge of AS400, Oracle, SQL Server, and Postgres. Experience: 6–9 years of experience in Data Engineering or Data Development. Proven expertise in large-scale data environments and enterprise data warehouses (EDW). Experience in finance analytics or working with financial data models (e.g., Credit Risk, Treasury & Wealth Management).