Base: $142,000 to $215,000; bonus/equity: eligible...
Scalable data engineering solutions
Robust etl pipelines
Financial market data
The team is uniquely positioned to innovate and support the newly evolving multi-asset business in SPDJI, operating with client-centric, business-driven, and solution-oriented principles
Job Summary
The team is uniquely positioned to innovate and support the newly evolving multi-asset business in SPDJI, operating with client-centric, business-driven, and solution-oriented principles.
Responsibilities include designing and implementing scalable data engineering solutions, building robust ETL pipelines for financial market data, and collaborating with cross-functional teams.
S&P Global offers a comprehensive benefits package including health and wellness, flexible downtime, continuous learning, and investment in your future.
Matching Summary
The team is uniquely positioned to innovate and support the newly evolving multi-asset business in SPDJI, operating with client-centric, business-driven, and solution-oriented principles.
Salary
Base: $142,000 to $215,000; Bonus/Equity: Eligible for annual incentive plan; Benefits: Eligible for additional S&P Global benefits
Skills & Requirements
Must-have
scalable data engineering solutions
robust ETL pipelines
financial market data
big data technologies
cloud platforms and services
Nice-to-have
client-centric, business-driven principles
innovative data products
containerization and orchestration technologies
data streaming and real-time processing
infrastructure as code tools
Key Requirements
Bachelor's degree in Computer Science, Engineering, Mathematics, or related technical field
3+ years of experience in data engineering, software development, or related technical roles
Proficiency in Python, Java, or Scala
Experience with Apache Spark, Hadoop, or Kafka
Strong knowledge of SQL and experience with relational and NoSQL databases
Experience with AWS, Azure, or Google Cloud Platform