JOB SPECIFIC DUTIES & RESPONSIBILITIES ● Design, develop, and optimize data pipelines for processing large volumes of structured and unstructured data using Apache Spark and AWS technologies. ● Develop APIs and microservices using container frameworks like OpenShift, Docker, and Kubernetes. ● Work with diverse data formats such as PARQUET, ORC, and CSV. ● Leverage data streaming and messaging platforms including Apache Kafka for real-time data processing. ● Build scalable solutions on AWS leveraging services like ElasticSearch/OpenSearch. ● Implement big data querying using tools such as Presto or Trino. ● Collaborate with platform and vendor deployment teams to ensure seamless integration of data sources. ● Work closely with data architects to provision and support sustainable infrastructure patterns. ● Contribute to data access strategies and data modeling in alignment with architectural principles. ● Communicate technical concepts effectively to non-technical stakeholders and vice versa. Show more Show less

SAS Solution Designer We are seeking a highly experienced SAS Solution Designer to join our team in a solution engineering lead capacity. This role requires in-depth knowledge of SAS technologies, cloud-based platforms, and data solutions. The ideal candidate will be responsible for end-to-end solution design aligned with enterprise architecture standards and business objectives, providing technical leadership across squads and development teams. Mitra AI is currently looking for experienced SAS Solution Designers who are based in India and are open to relocating. This is a hybrid opportunity in Sydney, Australia. JOB SPECIFIC DUTIES & RESPONSIBILITIES Own and define the end-to-end solution architecture for data platforms, ensuring alignment with business objectives, enterprise standards, and architectural best practices. Design reliable, stable, and scalable SAS-based solutions that support long-term operational effectiveness. Lead solution engineers and Agile squads to ensure the delivery of high-quality, maintainable data solutions. Collaborate independently with business and technical stakeholders to understand requirements and translate them into comprehensive technical designs. Provide high-level estimates for proposed features and technical initiatives to support business planning and prioritization. Conduct and participate in solution governance forums to secure approval for data designs and strategies. Drive continuous improvement by identifying technical gaps and implementing best practices, emerging technologies, and enhanced processes. Facilitate work breakdown sessions and actively participate in Agile ceremonies such as sprint planning and backlog grooming. Ensure quality assurance through rigorous code reviews, test case validation, and enforcement of coding and documentation standards. Troubleshoot complex issues by performing root cause analysis, log reviews, and coordination with relevant teams for resolution. Provide mentoring and coaching to solution engineers and technical leads to support skills growth and consistency in solution delivery. REQUIRED COMPETENCIES AND SKILLS Deep expertise in SAS technologies and ecosystem. Strong proficiency in cloud-based technologies and data platforms (e.g., Azure, Hadoop, Teradata). Solid understanding of RDBMS, ETL/ELT tools (e.g., Informatica), and real-time data streaming. Ability to work across relational and NoSQL databases and integrate with various data and analytics tools. Familiarity with BI and reporting tools such as Tableau and Power BI. Experience guiding Agile delivery teams, supporting full-stack solution development through DevOps and CI/CD practices. Capability to define and implement secure, scalable, and performant data solutions. Strong knowledge of metadata management, reference data, and data lineage concepts. Ability to communicate effectively with both technical and non-technical stakeholders. Problem-solving mindset with attention to detail and an emphasis on delivering high-quality solutions. REQUIRED EXPERIENCE AND QUALIFICATIONS Minimum of 15+ years of experience in solution design and development roles, including leadership responsibilities. Strong exposure to SAS and enterprise data platforms in the financial services industry. Prior experience working within risk, compliance, or credit risk domains is highly desirable. Practical experience with Agile methodologies and DevOps principles. Bachelors or Masters degree in Computer Science, Engineering, Information Technology, or related field. Experience working in cross-functional teams with a focus on business alignment and technology delivery. Show more Show less

About the Role: We are seeking a experienced Rocket UniData/ UniVerse Engineer to join our team in supporting and modernizing critical business applications built on the Rocket MultiValue platform. The ideal candidate will have a deep understanding of UniData and UniVerse environments, with a proven track record in developing, maintaining, and optimizing complex legacy systems. Key Responsibilities: Design, develop, maintain, and optimize applications built on Rocket UniData and UniVerse platforms Analyze existing codebase and perform system improvements, bug fixes, and enhancement Work closely with business analysts and stakeholders to understand requirements and deliver solutions Support data integration between MultiValue databases and modern platforms (e.g., via REST APIs, ODBC, or flat file interfaces) Participate in modernization efforts including migration, documentation, and system re-architecture Provide production support, including troubleshooting and performance tuning Maintain high-quality standards in code and documentation Required Skills & Experience: 2+ years of hands-on experience with Rocket UniData and UniVerse Good knowledge of PickBasic/ UniBasic , Procs, Paragraphs, and TCL Experience with MultiValue data modeling , indexes, and file structures Familiarity with Rocket tools (SB/XA, Web DE, U2 Toolkit) is a plus Experience integrating UniData/ UniVerse with external systems Understanding of modern development practices (version control, DevOps) Excellent problem-solving, debugging, and analytical skills Strong communication and documentation capabilities Nice to Have: Exposure to modernization tools (e.g., Rocket API, Python connectors, AI-based modernization frameworks) Knowledge of legacy-to-modern migration strategies Experience working in Agile/ Scrum environments