Collaborate with cross functional teams to understand data requirements and deliver high quality data solutions. Develop and optimize data models to support data analytics. Utilize advanced analytics techniques to extract insights from large datasets and drive data driven decision making. Implement data validation frameworks and monitoring systems to detect and resolve data quality issues. Troubleshoot and resolve issues in data pipelines to ensure timely and accurate data delivery Work with a security-first mindset, focusing on system scalability and maintainability. Coach and mentor peers and emerging team members while advocating for best practices. Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python These requirements include but are not limited to the following specialized security screenings: Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. 3+ years experience in business analytics, data science, software development, data modeling or data engineering work Solid experience with data processing frameworks such as Apache Spark, Hadoop. Expertise in SQL and experience with RDBMS, Key Value stores. Familiarity with cloud platforms and data services. Excellent problem solving skills and the ability to work independently and as part of a team. Solid communication skills. Familiarity with Azure. Experience with machine learning and data science tools and frameworks. Knowledge of data visualization tools (e.g., Tableau, Power BI). Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
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