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5+ years of IT experience with about 3+ years in data engineering and ETL/ELT Experience in Java/J2EE tech stack. Experience in designing and developing data pipelines using PySpark in any Public Cloud e.g. AWS, Google Cloud Platform, Azure, etc, or hybrid environments. Proficient in SQL, data modelling, and data warehouse concepts.Proficient in developing Microservices using Java, SpringBoot, and REST API Creation and Consumption.Conceptual understanding of modern software engineering patterns, including those used in highly scalable, distributed, and resilient systems. Solid understanding of NoSQL databases like MongoDB and ElasticSearch, experience in Kubernetes, Docker, and CI/CD pipeline configuration. Experience in developing and delivering systems on AWS cloud platform or equivalent. Experience working on AWS SDK and Lambdas, any MPP data warehouses e.g. Snowflake, Big Query, Redshift, GraphQL API development, AWS Glue, Glue Studio, Blueprints Experience in implementing effective and successful Cloud-based Data Migration and Data Integration strategies