Developing Data Strategy: Understands, articulates, and applies principles of the defined strategy to routine business problems that involve a single function.
Scaling Systems: Build large-scale systems to process customer data. Enable data scientists to run their models in batch and real-time. Continuous collaboration to scale the systems to support model inferencing.
Curiosity & Courage: Demonstrates curiosity and a growth mindset; fosters an environment that supports learning, innovation, and intelligent risk-taking; and exhibits resilience in the face of setbacks.
Digital Transformation & Change: Seeks and implements continuous improvements and encourages the team to leverage new digital tools and ways of working.
Customer Focus: Delivers expected business results while putting the customer first and consistently applying an omni-merchant mindset and the EDLP and EDLC business models to all plans.
Requirements & Skills:
Experience of architecture, tools, and deployments in the hyper-scalers like GCP/Azure/AWS
Experience with data engineering to stream and process datasets at low latencies or Experience in Java, data streaming, and API
Experience in operationalizing automated CI/CD pipelines
You are a technically strong and high-performing individual with excellent communication skills, a background in Big Data, and distributed systems good experience in technologies like Spark, Scala, Kafka, and Hadoop
You stay updated with the latest research and technology ideas and have a passion for utilizing innovative ways to solve problems. Experience with Airflow/Nifi, Kafka streams, Druid, or similar technologies.
