Job Description: 

S&P Global Ratings is looking for a Senior Big Data Engineer to join the Data Lake team within Data Services group, a team of data and technology professionals who define and execute the strategic data roadmap for S&P Global Ratings. The successful candidate will participate in the design and build of S&P Ratings cutting edge data services and analytical solutions. 

The Role 

Senior Software Engineer - Big Data  

The Location 

Mumbai, INDIA 

The Team 

The Data Lake team is responsible for data ingestion from internal source systems in batch/real-time modes, curation and governance of the data assets created in the platform. The team also works towards adopting the new features of the Databricks product and optimizing the operational aspects of the platform to enhance the user community experience.  The team has a broad and expert knowledge on Ratings organization’s critical data domains, technology stacks and architectural patterns, fosters knowledge sharing and collaboration that results in a unified strategy.  

The Impact: You will be an expert contributor and part of the Rating Organization’s Data Services Product Engineering Team with a unique opportunity to build and evolve S&P Ratings next gen data and analytics platform. 

Our Hiring Manager Says 

If you are an individual that brings demonstrated experience of delivering big data projects as a data engineer, this is an excellent opportunity. We are looking for someone who is passionate about data wrangling and analysis and is a polyglot in data analysis related programming languages.  

Responsibilities:                

·                Design & Build data pipelines with an emphasis on scale, performance and reliability. 

·                Provide technical expertise in the areas of design and implementation of Data Lake solution powered by Databricks on AWS cloud. 

·                Ensure data governance principles adopted, data quality checks and data lineage implemented in each hop of the data 

·                Partner with the data teams, enterprise architecture organization to ensure best use of standards for the key data domains and use cases 

·                Continuous learner with an eye on emerging trends around data lake architecture and enterprise data solutions. 

·                Ensure compliance through the adoption of enterprise standards and promotion of best practice / guiding principles aligned with organization standards 

Experience & Qualifications: 

·                BE, MCA or MS degree in Computer Science or Information Technology 

·                4+ years of experience building solutions in big data technologies. 

·                3+ years of experience in data transformation and analysis with one or more of Scala, Python, Spark and related libraries. 

·                Strong foundational understanding on data models and query languages. 

·                Experience in continuous delivery through CI/CD pipelines, containers and orchestration technologies.  

·                Experience building streaming data pipelines using Kafka, Confluent etc is an added advantage.  

·                Experience With Machine Learning Libraries and Frameworks (TensorFlow, MLlib) is an added advantage. 

·                Expert knowledge of Agile approaches to software development and able to put key Agile principles into practice to deliver solutions incrementally. 

·                Monitors industry trends and directions; develops and presents substantive technical recommendations to senior management 

·                Excellent analytical thinking, interpersonal, oral, and written communication skills with strong ability to influence both IT and business partners 

·                Financial services industry experience is an added advantage. 

·                Databricks experience or certifications is an added advantage. 

·                AWS or any public cloud certification is an added advantage.