Principal BI Engineer - Data Modeling & Analytics Infrastructure

About the Position

We are seeking a Principal BI Engineer specializing in Data Modeling & Analytics Infrastructure to join our team. This role is remote and full-time.

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL processes to ensure efficient data flow across systems.
• Architect and implement robust data warehouse solutions that support business intelligence and analytics initiatives.
• Create and optimize complex SQL queries to extract, transform, and analyze large datasets with high performance.
• Collaborate with cross-functional teams to understand data requirements and deliver appropriate technical solutions.
• Develop and maintain data models that accurately represent business processes and enable effective analytics.
• Implement data quality measures and monitoring systems to ensure data accuracy and reliability.
• Create compelling data visualizations and dashboards that effectively communicate insights to stakeholders.
• Apply statistical methodologies to identify trends, patterns, and anomalies in business data.
• Document data architecture, pipelines, and processes for knowledge sharing and continuity.
• Stay current with emerging technologies and best practices in data engineering and business intelligence.

Requirements

• Proven experience (3+ years) as a Data Engineer, BI Developer, or similar role with demonstrated project success.
• Advanced SQL skills across various database systems, particularly MySQL and SQL Server.
• Strong understanding of data warehouse design concepts, including dimensional modeling and star schemas.
• Proficiency in designing and implementing ETL/ELT workflows for large-scale data processing.
• Experience with Python (preferred) or equivalent programming skills in Java or C# for data manipulation and analysis.
• Hands-on experience with data visualization tools and techniques to effectively present complex information.
• Solid foundation in statistics with the ability to apply statistical methods for data analysis.
• Knowledge of data quality management and governance principles.
• Experience working with cloud-based data platforms (AWS, Azure, or GCP).
• Excellent problem-solving abilities and attention to detail.

Nice to Have

• Experience with modern data stack technologies like Snowflake, BigQuery, or Redshift.
• Knowledge of streaming data processing using Kafka, Spark Streaming, or similar technologies.
• Familiarity with data orchestration tools such as Apache Airflow or Luigi.
• Experience with NoSQL databases like MongoDB, Cassandra, or DynamoDB.
• Understanding of data science workflows and machine learning pipelines.
• Experience with version control systems (Git) and CI/CD pipelines for data projects.
• Certifications related to data engineering, cloud platforms, or database management.
• Background in implementing data governance frameworks and data quality monitoring.
• Experience working in agile development environments.

We Offer

• Opportunity to work remotely.
• Full-time position with a competitive salary.
• Be part of a dynamic and innovative team.
• Professional growth and development opportunities.

About the Company

Join our team and contribute to driving our data-driven initiatives forward. We value expertise, innovation, and collaboration.