McGraw Hill Financial Sr. Software Engineer - Data and Analytics in Gurgaon, United States

S&P Global Market Intelligence

The Role:

Senior Software Engineer

The Location:

Gurgaon

The Team:

Our team is responsible for the design, architecture, and development of our client facing applications using a variety of tools that are regularly updated as new technologies emerge. You will have the opportunity every single day to work with people from a wide variety of backgrounds and will be able to develop a close team dynamic with coworkers from around the globe.

The Impact:

The work you do will be used every single day, it s the essential code you ll write that provides the data & analytics required for crucial, daily decisions in the capital and commodities markets.

What s in it for you:

  • Build a career with a global company

  • Work on code that fuels the global financial markets

  • Grow and improve your skills by working on enterprise level products and new technologies.

Responsibilities:

  • Develop high-quality design for data and analytics projects

  • Identify, prioritize and execute tasks in Agile software development environment

  • Develop tools and applications by producing clean, high quality and efficient code

  • Provide technical mentorship and mentoring to the team and help them adopt change as new processes are introduced

  • Champion best practices and serve as a subject matter authority

    • Develop solutions to develop - support key business needs
  • Engineer components and common services based on standard development models, languages and tools

  • Produce system design documents and lead technical walkthroughs

  • Collaborate effectively with technical and non-technical partners

  • As a team-member should continuously improve the architecture.

What We re Looking For:

Basic Qualifications:

  • Bachelor's - Master s Degree in Computer Science, Information Systems or equivalent.

    • 4 to 6 years of experience in application development using core Java, Scala or .Net

    • Hands on experience in functional, distributed application programming.

  • Command of essential technologies:*

    Spark, Hive, Hadoop and SQL

    • Experience with developing ETL solutions on SQL Server, stored procedure programming experience using Transact SQL.

    • Proficient with software development lifecycle (SDLC) methodologies like Agile, Test- driven development.

Preferred Qualifications:

  • Knowledge of working with AWS or Amazon EMR is desirable.

  • Knowledge of streaming systems such as Kafka and Spark streaming is a plus.

  • Ideal candidate be a quick learner to evaluate and welcome new technologies in the Big data space.

  • Excellent written and verbal communication skills.

  • Good collaboration skills.

  • Ability to lead, train and mentor.

About S&P Global Market Intelligence:

At S&P Global Market Intelligence, we know that not all information is importantsome of it is vital. Accurate, deep and insightful. We integrate financial and industry data, research and news into tools that help track performance, generate alpha, identify investment ideas, understand competitive and industry dynamics, perform valuation and assess credit risk. Investment professionals, government agencies, corporations and universities globally can gain the intelligence essential to making business and financial decisions with conviction.

S&P Global Market Intelligence is a division of S&P Global (NYSE:

SPGI), which provides essential intelligence for individuals, companies and governments to make decisions with confidence. For more information, visit, S&P Global Market Intelligence

To all recruitment agencies:

S&P Global does not accept unsolicited agency resumes. Please do not forward such resumes to any S&P Global employee, office location or website. S&P Global will not be responsible for any fees related to such resumes.

S&P Global is an equal opportunity employer committed to making all employment decisions without regard to race - ethnicity, gender, pregnancy, gender identity or expression, color, creed, religion, national origin, age, disability, marital status (including domestic partnerships and civil unions), sexual orientation, military veteran status, unemployment status, or other legally protected categories, subject to applicable law.