ClinDCast is seeking a skilled and motivated Power BI/Data Engineer to join our dynamic team. This role involves designing, developing, and maintaining data pipelines, transforming raw data into meaningful insights using Power BI, and contributing to data engineering efforts. The ideal candidate should possess a strong background in data processing, ETL (Extract, Transform, Load) processes, and visualization using Power BI. This role requires a blend of technical expertise, creativity, and a strong commitment to delivering high-quality data solutions.

Data Pipeline Development: Design, implement, and maintain robust data pipelines to extract, transform, and load data from various sources into target data repositories.

Data Transformation: Develop ETL processes to clean, transform, and enrich data, ensuring data quality, consistency, and accuracy.

Data Modeling: Design and optimize data models for efficient data storage, retrieval, and analysis in collaboration with data scientists and analysts.

Power BI Development: Create interactive and insightful Power BI dashboards and reports that provide actionable insights to various stakeholders.

Data Integration: Integrate data from different systems and sources, ensuring seamless data flow and integration points between various applications.

Performance Tuning: Identify and resolve performance bottlenecks in data pipelines, ETL processes, and Power BI reports to ensure optimal performance.

Data Governance: Implement data governance practices to ensure data privacy, security, compliance, and adherence to data quality standards.

Collaboration: Work closely with cross-functional teams including data scientists, analysts, business stakeholders, and IT teams to understand requirements and deliver solutions that meet business objectives.

Documentation: Maintain clear and concise documentation for data pipelines, transformations, and Power BI reports to facilitate knowledge sharing and future maintenance.