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Key Responsibilities: Design and implement scalable data models for reporting and analytics. Develop and maintain reports, dashboards, and KPI visualizations. Build and manage data warehouses and data marts. Support BI tools, data integration, ETL processes, and database management. Create documentation and training materials for BI solutions. Stay updated on the latest BI technologies and best practices. Required Skills & Experience: 5+ years of experience in BI development, data engineering, or related fields. Strong expertise in Python, SQL, and data warehousing. Hands-on experience with AWS services such as Lambda, S3, and Redshift. Experience with BI and visualization tools like Power BI. Good understanding of data science concepts; machine learning experience is a plus. Strong analytical, problem-solving, communication, and leadership skills. Preferred Qualifications AWS certifications (for example, AWS Certified Data Analytics). Experience with big data technologies such as Apache Spark, EMR, or Athena. Familiarity with Git, CI/CD pipelines, and Agile methodologies. Exposure to the airline, air freight, or supply chain domain. .