Senior Data Engineer & BI Developer | Remote SQL & Python Expert

We're seeking an exceptional Data Engineer or BI Developer to join our innovative team in designing, implementing, and optimizing enterprise-grade data pipelines and business intelligence solutions. In this remote role, you'll leverage your expertise in SQL, database management, and data architecture to transform complex datasets into actionable insights that drive strategic business decisions across the organization.

Key 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.

Required Skills & Experience

- 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.

Why Join Us

Working with our team offers you the opportunity to solve complex data challenges in a collaborative environment that values innovation and technical excellence. You'll have the freedom of remote work while contributing to impactful projects that leverage cutting-edge data technologies. We provide competitive compensation, professional development opportunities, and a supportive culture that encourages continuous learning and growth.