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Senior Software Engineer- Python, Pyspark @ S&P Global Market

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 Senior Software Engineer- Python, Pyspark

Job Description

S&P Dow Jones Indices is seeking a Python/Bigdata developer to be a key player in the implementation and support of data 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 EMR Spark workloads using Python, including data access from relational databases and cloud storage technologies.
  • Implement new powerful functionalities using Python, Pyspark, AWS and Delta Lake.
  • Independently come up with optimal designs for the business use cases and implement the same using big data technologies.
  • Enhance existing functionalities in Oracle/Postgres procedures, functions.
  • Performance tuning of existing Spark jobs.
  • Respond to technical queries from operations and product management team.
  • Implement new functionalities in Python, Spark, Hive.
  • Enhance existing functionalities in Postgres procedures, functions.
  • Collaborate with cross-functional teams to support data-driven initiatives.
  • Mentor junior team members and promote best practices.
  • Respond to technical queries from the operations and product management team.

What Were Looking For:

Basic Required Qualifications:

  • Bachelors degree in computer science, Information Systems, or Engineering, or equivalent work experience.
  • 5 - 8 years of IT experience in application support or development.
  • Hands on development experience on writing effective and scalable Python programs.
  • Deep understanding of OOP concepts and development models in Python.
  • Knowledge of popular Python libraries/ORM libraries and frameworks.
  • Exposure to unit testing frameworks like Pytest.
  • Good understanding of spark architecture as the system involves data intensive operations.
  • Good amount of work experience in spark performance tuning.
  • Experience/exposure in Kafka messaging platform.
  • Experience in Build technology like Maven, Pybuilder.
  • Exposure with AWS offerings such as EC2, RDS, EMR, lambda, S3,Redis.
  • Hands on experience in at least one relational database (Oracle, Sybase, SQL Server, PostgreSQL).
  • Hands on experience in SQL queries and writing stored procedures, functions.
  • A strong willingness to learn new technologies.
  • Excellent communication skills, with strong verbal and writing proficiencies.

Additional Preferred Qualifications:

  • Proficiency in building data analytics solutions on AWS Cloud.
  • Experience with microservice and serverless architecture implementation.

Job Classification

Industry: Banking
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Full Stack Developer
Employement Type: Full time

Contact Details:

Company: S&P Global Market
Location(s): Hyderabad

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Keyskills:   Python RDS S3 Pyspark PostgreSQL Bigdata Redis EMR SQL Server Kafka messaging Sybase lambda EC2 ORM libraries Oracle

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S&P Global Market

S&P Capital IQ, a business line of The McGraw-Hill Companies (NYSE:MHP), is a leading provider of multi-asset class and real time data, research and analytics to institutional investors, investment and commercial banks, investment advisors and wealth managers, corporations and universities aroun...