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Senior Data Engineer at Nova Talent. Location Information: USA. Job Overview. We are seeking a skilled Data Engineer to join our team and drive our data infrastructure forward. In this role, you will primarily focus on maintaining and enhancing our data warehouse and pipelines (80%) while also contributing to data analysis and reporting initiatives (20%). You'll work closely with cross-functional stakeholders to build robust data solutions and create actionable insights through compelling visualizations.. Key Responsibilities. Data Engineering. - Infrastructure Management: Maintain, enhance, and optimize existing data warehouse architecture and ETL pipelines.. - Pipeline Development: Design and implement scalable ETL/ELT processes ensuring data quality, integrity, and timeliness.. - Performance Optimization: Monitor and improve pipeline performance, troubleshoot issues, and implement best practices.. - Documentation: Create and maintain comprehensive documentation for data engineering processes, architecture, and configurations.. Data Analysis & Reporting. - Stakeholder Collaboration: Partner with business teams to gather requirements and translate them into technical solutions.. - Report Development: Build and maintain PowerBI dashboards and reports that drive business decisions.. - Data Modeling: Develop new data models and enhance existing ones to support advanced analytics.. - Insight Communication: Transform complex data findings into clear, actionable insights for various departments.. Required Qualifications. Technical Skills. - Programming & Query Languages: Strong proficiency in Python, SQL, and PySpark.. - Big Data Platforms: Experience with cloud data platforms including Snowflake, BigQuery, and Databricks. Databricks experience highly preferred.. - Orchestration Tools: Proven experience with workflow orchestration tools (Airflow preferred).. - Cloud Platforms: Experience with AWS (preferred), Azure, or Google Cloud Platform.. - Data Visualization: Proficiency in PowerBI (preferred) or Tableau.. - Database Systems: Familiarity with relational database management systems (RDBMS).. Development Practices. - Version Control: Proficient with Git for code management and collaboration.. - CI/CD: Hands-on experience implementing and maintaining continuous integration/deployment pipelines.. - Documentation: Strong ability to create clear technical documentation.. Experience & Communication. - Professional Experience: 3+ years in data engineering or closely related roles.. - Language Requirements: Fluent English communication skills for effective collaboration with U.S. based team members.. - Pipeline Expertise: Demonstrated experience building and maintaining production data pipelinesk