Key Responsibilities Design, develop, and operationalize scalable, reliable, and performant cloud‑based data pipelines. Build and maintain large, complex datasets that meet both functional and non‑functional business requirements. Apply database management best practices, including logical data modeling, physical database optimization, and data security. Implement and enhance Data Quality checks to ensure accuracy, integrity, and reliability of data pipelines. Partner closely with Data & Analytics experts to continuously enhance data platform capabilities and usability. Support multiple teams, systems, and products by providing consistent and optimized data delivery architectures. Participate in on‑call support rotations and proactively unblock users based on issue severity and business impact. Contribute to improving operational processes, monitoring, and reliability of data platforms. Required Skills & Experience 5+ years of experience designing, building, and operationalizing data pipelines for large and complex datasets. Strong experience working with structured and unstructured data, including JSON. Extensive hands‑on experience with advanced SQL for data transformation and analysis. Experience with Python and PySpark for large‑scale data processing. Hands‑on experience transforming and processing data using Databricks. Experience building data solutions on AWS. Experience using Git and CI/CD practices for data and platform development. Strong collaboration skills with the ability to support data engineers, analysts, data scientists, and software engineers. Why Join Us? Be a part of a dynamic and innovative environment where your contributions directly influence business outcomes. Collaborate with talented professionals and work on cutting‑edge technology stacks. Opportunity to lead impactful projects that solve real‑world problems. If you're ready to take on this exciting challenge and bring your expertise to our team, apply now! #J-18808-Ljbffr