Job Description

S&P Dow Jones Indices is seeking a Lead database developer to be a key player in the implementation and support of Platforms for S&P Dow Jones Indices. This role requires a seasoned technologist who contributes to application development and maintenance. The candidate should actively evaluate new products and technologies to build solutions that streamline business operations. The candidate must be delivery-focused with solid financial applications experience. The candidate will assist in day-to-day support and operations functions, design, development, and unit testing. Responsibilities and Impact: Lead the design and implementation of database solutions using Postgres and other relational databases. Ensure database performance, security, and reliability; coordinate with application teams to define database design. Collaborate with cross-functional teams to support data-driven initiatives. Mentor junior team members and promote best practices. Oversee database maintenance and troubleshooting. Drive innovation by evaluating and integrating new technologies. Produce system design documents and participate in technical walkthroughs. Perform application and system performance tuning and troubleshoot performance issues. Effectively interact with global customers, business users, and IT staff. What Were Looking For: Basic Required Qualifications: Bachelors degree in Computer Science, Information Systems, or Engineering, or equivalent work experience. 8+ years of IT experience in application support or development. Strong experience in database environments SQL, PL/SQL programming. In-depth knowledge of Oracle and PostgreSQL architecture. Drive end-to-end availability, performance monitoring, and capacity planning for databases using different tools like AWS DMS, Cloudwatch Experience with SPARK and NoSQL-related database technologies is preferred Experience in working with multi-threaded, high-performance, low-latency messaging systems. Experience in AWS cloud-based technologies. Experience using system tools, source control systems, utilities, and third-party products. Experience with financial applications such as Index/Benchmarks, Asset Management, Portfolio Investment modeling, or trading systems is preferred Excellent communication skills, with strong verbal and writing proficiencies. Additional Preferred Qualifications: Proficiency in building data analytics solutions on AWS Cloud. Thorough understanding of replication strategies and implementation of HA protocols for 99.99% uptime. Experience with implementation of data governance and data lineage. Proficiency in implementing data models in SQL and NoSQL databases. Experience with microservice and serverless architecture implementation.