Data Engineer role at Citi designing and maintaining scalable data solutions. Seeking a skilled professional with extensive data engineering experience and expertise in various technologies.
About the role
- Senior Fabric Data Engineer designing and optimizing data solutions using Microsoft Fabric for diverse clients. Collaborating with teams and mentoring junior engineers in data platform initiatives.
Responsibilities
- Design, build, and optimize enterprise-grade data solutions using Microsoft Fabric.
- Collaborate with cross-functional teams to deliver high-quality data solutions.
- Mentor junior engineers and share best practices in Data Engineering.
- Develop Lakehouse architectures and implement data pipelines for various workloads.
- Integrate and utilize Power BI for enterprise analytics solutions.
Requirements
- 7–10+ years of experience in Data Engineering.
- Strong hands-on experience with Microsoft Fabric, including at least one production implementation.
- Design and development of Lakehouse architectures using Microsoft Fabric, including OneLake, Delta tables, and Medallion architecture.
- Development of Dataflows Gen2, Notebooks (PySpark / SQL), and Pipelines for data ingestion, transformation, and orchestration.
- Implementation of end-to-end data pipelines using Data Factory (Fabric), Spark notebooks, and streaming workloads.
- SQL (Advanced/Expert) and PySpark / Spark SQL.
- Design of high-performance data pipelines for batch and real-time workloads.
- Development of semantic models and governed datasets to support enterprise analytics.
- Collaboration with Power BI developers to design DAX measures, relationships, and optimized data models.
- Implementation of Git integration and deployment pipelines for Fabric workloads.
- Experience with Eventstream, Real-Time Hub, or KQL (Nice to have).
- Experience implementing data governance frameworks, lineage, cataloging, and metadata management using tools such as Purview (Nice to have).
- Strong collaboration experience working with cross-functional teams, including Data Scientists, BI Engineers, Domain Owners, and Business Stakeholders.
- Ability to mentor junior engineers and contribute to engineering best practices.
- Experience supporting modern data platform initiatives and contributing to Centers of Excellence, reusable frameworks, and architectural standards.
- Experience with the Azure Data Platform ecosystem (ADLS, Azure Data Factory, Synapse, Databricks) (Nice to have).
Benefits
- WELLNESS: We promote personal, professional, and financial well-being.
- LET’S RELEASE YOUR POWER: Opportunities to specialize and grow across different technologies and domains.
- WE CREATE NEW THINGS: Freedom and support to design innovative data solutions.
- WE GROW TOGETHER: Participation in cutting-edge, multinational technology projects with diverse teams.
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