Lead Iii, Software Engineer

S&P Dow Jones Indices

Multiple Locations
Base: $142,000 to $215,000; bonus/equity: eligible...
Scalable data engineering solutions
Robust etl pipelines
Financial market data processing
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, and collaborating with cross-functional teams to deliver data-driven solutions.
  • S&P Global offers competitive pay, retirement planning, a continuing education program, and family-friendly perks, in addition to health and wellness benefits and flexible downtime.

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 processing
  • Python, Java, or Scala
  • big data technologies
  • SQL and databases

Nice-to-have

  • financial markets data experience
  • containerization and orchestration
  • data streaming and real-time processing
  • infrastructure as code tools
  • DevOps practices

Key Requirements

  • Bachelor's degree in Computer Science, Engineering, Mathematics, or related technical field
  • 3+ years of experience in data engineering or software development
  • Proficiency in Python, Java, or Scala
  • Experience with big data technologies (Apache Spark, Hadoop, Kafka)
  • Strong SQL and database experience (relational and NoSQL)
  • Experience with cloud platforms (AWS, Azure, GCP)

Work Rights

Not specified

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