Your role and responsibilities Design, construct, and deploy highly efficient and reliable data pipelines that seamlessly transfer data across various platforms, including Data Warehouses and real-time systems. ● Develop deep expertise in these data pipelines and manage their Service Level Agreements (SLAs) to ensure optimal performance. ● Collaborate with Data Analysts, Data Scientists and business stakeholders to create internal data products aimed at boosting operational efficiencies across the organization. ● Contribute to the upkeep of cloud Infrastructure i.e managing IAM permissions, creation of Service Accounts and availing various GCP services to name a few ● Ensure data quality, integrity and performance across pipelines Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 2 to 4 years of experience in Data Engineering including internship with a technology company. ● Bachelors or Masters degree or equivalent experience in Information Technology or Computer Science. ● High level understanding of data models and ETL/ELT fundamentals. ● Structured thinking, and know how to slice and dice the data to investigate issues. ● Communicate clearly, especially to technical audiences effectively, both verbally and in writing. ● Hands on experience in working with Orchestration tool like Airflow ● Good to have experience in real time pipelines and event driven architecture ● Have a hunger for learning and adopting to new technologies Years of Experience:2 - 4

About IBM

At IBM, we do more than work. We create. We create as technologists, developers, and engineers. We create with our partners. We create with our competitors. If you're searching for ways to make the world work better through technology and infrastructure, software and consulting, then we want to work with you. We're here to help every creator turn their "what if" into what is. Let's create something that will change everything.