A leading commercial real estate finance and investment firm is looking to hire for a Senior Data Engineer.Responsibilities
Provide strategic direction and technical oversight for a significant greenfield initiative focused on rebuilding and modernizing our data warehouse infrastructure.Serve as a mentor to a team of engaged and curious engineers, actively guiding and leveling up the team's technical skills and capabilities.Address complex data engineering challenges proactively, applying innovative solutions.Participate actively in agile practices, contributing within cross-functional squads that dynamically address evolving data engineering needs across the organization.Ensure rigorous adherence to best practices in data governance, security, compliance, and information integrity.Collaborate closely with internal teams and stakeholders to facilitate successful adoption and understanding of data initiatives and solutions.Qualifications
7 years of experience in software or data engineering or related fields.Demonstrated capability in leading the architectural design and implementation of large scale data warehouse systems using as-code orchestration frameworks like Airflow or Dagster.A deep passion for technical mentorship and knowledge sharing.Experience with REST APIs, GraphQL / OData and Event-Driven Architecture.Expertise in SQL with modern data warehousing solutions (e.g., Fabric, Snowflake, Databricks).Proficiency in Python and open source data processing tools (Spark, Parquet, dbt, etc.).Comfortable building scalable cloud-native systems using containerization and orchestration technologies (Docker, Kubernetes, etc.).Familiarity with essential DevOps practices, including version control, automated CI/CD, etc.Familiarity with analytics, business intelligence tools, or data visualization platforms.#J-18808-Ljbffr
