We are currently looking for initiative-taking engineers with knowledge in databases, data platform, SQL, PL/SQL, Python and Java to join as part of the Autonomous Data Platform team. You’ll work with advanced cloud technologies, databases, and distributed processing systems to create robust, scalable software solutions for data engineers, scientists, and analysts. The Autonomous Data Platform (ADP) adds drop-in value to customers who use the Oracle Autonomous Database. We believe the following salient features define the Data Platform: Autonomous Data Management: Empowers Users of varying skill levels (Data Integrators, Data Stewards, Data Scientists, Power users and Analysts) to be able to easily create, transform, publish, manage and use data sets. Data sets can be local (files, tables, streams) or remote (federated access) entities. Autonomous Analytics: Declarative metadata that a) helps capture the semantics for preparing and managing a data set, b) associates one data set to another. Data Driven and metadata context enabled insights (data relationships, outliers, patterns) produced autonomously. Autonomous Performance: Semantic layers offer better metadata context and hence can help drive better execution plans. Tooling : To facilitate the creation of necessary metadata. The design principle should be to infer relationships and help auto-creation of the necessary metadata. We are seeking individuals with a deep understanding of data platforms, cloud infrastructure, and software engineering. Candidate with experience with data lake technologies, distributed processing systems like Apache Spark and table formats such as Databricks Delta, Apache Iceberg or Apache Hudi, data catalogs like AWS Glue etc. are preferred. Work is non-routine and very complex, involving the application of advanced technical/business skills in area of specialization. You will contribute individually and as a team member, providing direction and mentoring to others. We are looking for an experienced engineer proficient in PL/SQL and programming languages like C, C++, Java, Scala and related technologies. BS or MS degree or equivalent experience relevant to functional area is required. Should possess good understanding of database concepts and SQL. Should be willing and flexibility to learn and adapt to new technologies. Preferred Qualifications: 6-10+ years of professional software engineering experience. Strong understanding of relational databases and cloud-based data storage solutions. Experienced with open table formats (Delta, Iceberg, Hudi), data lakes, data warehouse solutions, modern data-sharing platforms and prior experience with data catalogs preferred. Experience with Apache Iceberg,Data Catalog like Glue etc, Apache Spark, Delta Share preferred. Proficient in SQL, PL/SQL, programming languages like C, C++, Java, Scala, Python etc. Strong problem-solving and debugging skills. Excellent communication and teamwork abilities. Experience working in an Agile/Scrum development environment. Career Level - IC4 As a member of the software engineering division, you will take an active role in the definition and evolution of standard practices and procedures. You will be involved in design, prototyping and development of the backend processes for data and metadata share and management and other components of the Autonomous Data Platform. You will be responsible for defining and developing software for tasks associated with the developing, designing, troubleshooting and debugging of software programs for databases, applications or tools. Your responsibilities will include: Contribute to building applications that integrate with modern data storage and processing platforms, including Iceberg, Delta Lake, AWS Glue, and other cloud technologies. Collaborate with data engineering and analytics teams to build and integrate applications with Iceberg, Delta Lake, AWS Glue, and Data Catalogs. Work closely with other senior developers and architects as well as Product Management, IT and Operations teams for architecting, designing and developing various features. Enhance existing applications to support new functionality, performance improvements, and bug fixes. Participate in all phases of the software development lifecycle, including requirements gathering, architecture design, coding, testing, deployment, and maintenance. Work closely with stakeholders to understand business needs and translate them into technical requirements and solutions. Troubleshoot, debug, and resolve software defects and technical issues across applications. Collaborate with cross-functional teams in an Agile environment, contributing to continuous integration and deployment. Possess excellent communication skills, with the ability to effectively collaborate with cross-functional teams, including data engineers, product managers, and business stakeholders.