Senior Software Engineer- Python, Pyspark
- S&P Global
- 5 - 8 years
- Hyderabad
- 8 months ago
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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: BankingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Full Stack DeveloperEmployement Type: Full timeContact Details:
Company: S&P Global MarketLocation(s): Hyderabad
Keyskills: Python RDS S3 Pyspark PostgreSQL Bigdata Redis EMR SQL Server Kafka messaging Sybase lambda EC2 ORM libraries Oracle
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