Senior Software Engineer (Data)

Impact
As a Senior Software Engineer (Data) at our organization, you will play a pivotal role in building and optimizing cutting-edge Vertical AI solutions for the financial services sector. Your contributions will directly influence the innovation and efficiency within the financial industry by leveraging data to create intelligent, automated, and predictive systems. Through the use of state-of-the-art technologies like Databricks and OpenSearch, you will be instrumental in driving the transformation of financial services, making them more accessible, secure, and efficient.
Responsibilities

1. Design and Develop Scalable Solutions: Lead the design and development of scalable data pipelines and AI models, ensuring the integration of complex data sets that drive intelligent decision-making in the financial sector.
2. Collaboration and Leadership: Collaborate with cross-functional teams and stakeholders to identify business needs, and translate them into technical requirements, while fostering a culture of knowledge sharing and mentorship.
3. Data Management and Optimization: Utilize OpenSearch for efficient data management and optimization, ensuring data quality and consistency across various data sources.
4. Innovation and Research: Conduct research on emerging technologies and methodologies in the field of AI and data science, and propose innovative solutions to enhance the capabilities of the vertical AI platform.
5. Performance Monitoring and Optimization: Monitor the performance of data pipelines and AI models, implementing optimizations and enhancements to ensure high performance and reliability.
6. Security and Compliance: Ensure the security and privacy of sensitive financial data, adhering to regulatory requirements and implementing best practices in data governance and compliance. Required Qualifications
7. Bachelor’s Degree in Computer Science or Related Field A bachelor’s degree in Computer Science, Information Technology, or a related field, with a strong background in data science and artificial intelligence.
8. Experience with Databricks: Hands-on experience with Databricks for big data analytics, including the development and deployment of machine learning models.
9. Expertise in OpenSearch: Proficiency in using OpenSearch for data indexing, search, and analytics, with the ability to optimize data storage and retrieval processes.
10. Software Development Skill** Strong software development skills with experience in languages such as Python, with a demonstrated ability to develop scalable and robust data solutions.
11. Industry Experience: At least 5-7 years of experience in the financial services sector, with a deep understanding of industry-specific challenges and opportunities.
12. Excellent Communication and Teamwork Skills: Excellent communication and teamwork skills, with the ability to work effectively in a collaborative and fast-paced environment. Tech Stack:
13. Databricks
14. OpenSearch
15. Python
16. Big Data Technologies (Spark)
17. Cloud Platforms (AWS, Google Cloud) Base pay for this role is expected to be between $190,000 and $265,000 USD. This expected base pay range is based on information at the time this post was generated. This role will also be eligible for other forms of compensation such as a performance linked bonus, equity, and a competitive benefits package. Actual compensation for a successful candidate will be determined based on a number of factors such as skillset, experience, and qualifications.