Job Responsibilities: You will provide support for application data needs and data models to ensure robust and scalable solutions. You will collect and integrate data from multiple sources, including databases, APIs, external providers, and streaming platforms. You will design and implement efficient data pipelines that enable reliable data movement and transformation. You will manage data storage and choose appropriate database systems while optimizing data schemas and ensuring data quality, integrity, scalability, and performance for large-scale datasets. You will work semi-independently toward defined objectives, collaborating with supervisors and stakeholders to deliver stable, working solutions. You will begin to build customer relationships through consistent solution delivery and follow-up. You will apply strong organizational, communication, and time management skills to complete tasks with minimal errors and within deadlines. You will actively participate as a team member by practicing effective listening, collaboration, and shared problem-solving. Job Qualifications: You must have a Bachelor&aposs Degree in Computer Science, MIS, Engineering or related discipline You have 5-7 years of experience applying modern information technology to business operations. You have solid experience managing SQL databases, including setting permissions, managing user access, and administering security controls. You have strong expertise in ETL (Extract, Transform, Load) processes for data transformation and migration. You have hands-on experience with PL/SQL and custom applications on Oracle databases. You have worked with distributed database architectures and implemented database links effectively. You have familiarity with Microsoft reporting tools and Excel Macros for automation. You have intermediate-level Python skills that support data handling and automation tasks. You are fluent in SQL and capable of writing queries using LINQ or similar query languages. You are proficient in understanding and optimizing query performance and indexing strategies. You have experience working with AWS, which is considered a plus. You are familiar with data science algorithms and basic artificial intelligence concepts. You have strong communication skills and can articulate technical ideas clearly to both technical and non-technical audiences. Show more Show less