Senior Data Engineer - Qlik (52432)
Job Description
We are seeking a Senior Data Engineer with deep hands-on experience in Qlik, Talend, and Microsoft Fabric to lead data integration, modeling, and visualization initiatives. You will architect robust data pipelines, design semantic models, and drive real-time analytics using Microsoft's latest Fabric ecosystem. Your goal: deliver performant, scalable, and governed data solutions
Key Responsibilities:
- Architect, build, and optimize ETL/ELT pipelines using Talend
- Develop dashboards and visualizations using Qlik Sense and integrate them with enterprise data sources
- Lead data ingestion and transformation in Microsoft Fabric (Data Factory Pipelines, Lakehouse, OneLake)
- Collaborate with data analysts, scientists, and business stakeholders to define data models and analytics use cases
- Enforce data quality, lineage, and governance best practices
- Mentor junior engineers and establish best practices for data development lifecycles
- Partner with DevOps teams for deployment automation and CI/CD of data assets
Key Skills & Technologies
- ETL/ELT Tools: Talend (Open Studio & Data Integration)
- BI & Data Visualization: Qlik Sense / QlikView
- Modern Data Platforms: Microsoft Fabric (OneLake, Lakehouse, Pipelines)
- Programming: Python, SQL, Spark
- Data Warehousing: Snowflake, Synapse, Redshift, BigQuery
- Cloud Platforms: Azure (preferred), AWS, GCP
- Data Governance: Data Quality, Lineage, Cataloging
- DevOps/CI-CD: Git, Azure DevOps, Jenkins
Qualifications:
- Bachelor's/Master's in Computer Science, Data Engineering, or related field
- 6+ years of experience in data engineering with proven delivery of complex data projects
- Proficiency in Talend (both open source and enterprise)
- Advanced user of Qlik Sense for both backend scripting and front-end development
- Hands-on experience with Microsoft Fabric, including Lakehouse, Pipelines, and Power BI integration
- Strong SQL, performance tuning, and data modeling skills
- Experience in data mesh, data fabric, or enterprise-scale data lake
Nice to Have:
- Certifications in Qlik, Talend, or Microsoft Azure/Fabric
- Experience with streaming technologies (Kafka, Azure Event Hubs)
- Familiarity with DataOps and MLOps
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