
Banking • Healthcare • Fintech
SS&C Technologies is a global leader in financial services and healthcare technology, recognized as the world’s largest independent hedge fund and private equity administrator, as well as the largest mutual fund transfer agency. The company offers a comprehensive range of solutions including asset management, banking, healthcare, insurance, and wealth management, leveraging proprietary software and extensive expertise to meet the operational needs of clients across multiple industries.
10,000+ employees
Founded 1986
🏦 Banking
💳 Fintech
4 days ago

Banking • Healthcare • Fintech
SS&C Technologies is a global leader in financial services and healthcare technology, recognized as the world’s largest independent hedge fund and private equity administrator, as well as the largest mutual fund transfer agency. The company offers a comprehensive range of solutions including asset management, banking, healthcare, insurance, and wealth management, leveraging proprietary software and extensive expertise to meet the operational needs of clients across multiple industries.
10,000+ employees
Founded 1986
🏦 Banking
💳 Fintech
• Develop and maintain robust, fault-tolerant data ingestion and transformation pipelines using Java, Python and Spark. • Define flexible and scalable data schemas using Apache Iceberg. • Support both batch and real-time data processing, including integration with Apache Kafka. • Ensure reliability, observability, and integrity of data pipelines. • Design and implement scalable, secure RESTful and data APIs for data access and integration. • Build APIs for data ingestion, transformation, and consumption across internal services. • Enable seamless interoperability between data consumers, pipelines, and governance systems. • Evaluate and implement metadata management platforms to support data cataloging.
• 5–8+ years of experience in data engineering • Strong programming skills in Java • Deep knowledge of Apache Iceberg, Spark, Superset, and Kafka • Familiarity with metadata management platforms like DataHub, Apache Atlas, or OpenMetadata • Experience with cloud-native infrastructure tools such as Kubernetes, Ansible, Salt, etc. • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
• Health insurance • 401(k) plan • Tuition reimbursement • Professional development opportunities
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💰 Seed Round on 2014-08
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