• Collaborate with the Product Owner and team leads to define and design efficient pipelines and data schemas • Build and maintain infrastructure using Terraform for cloud platforms • Design and implement large-scale cloud data infrastructure, self-service tooling, and microservices • Work with large datasets to optimize performance and ensure seamless data integration • Develop and maintain squad-specific data architectures and pipelines following ETL and Data Lake principles • Discover, analyze, and organize disparate data sources into clean, understandable schemas • Hands-on experience with cloud computing services in data and analytics • Experience with data modeling, reporting tools, data governance, and data warehousing • Proficiency in Python and PySpark for distributed data processing • Experience with Azure, Snowflake, and Databricks • Experience with Docker and Kubernetes • Knowledge of infrastructure as code (Terraform) • Advanced SQL skills and familiarity with big data databases such as Snowflake, Redshift, etc.