Sr Software Engineer (Big Data, Cloud)/Lead
- S&P Global
- 4 - 8 years
- Mumbai
- 11 months ago
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Job Description
The Role: Sr Software Engineer (Big Data, Cloud)
Location - Mumbai
The Team:
S&P Global Ratings is looking for a Big Data Engineer to join Data Engineering team within Data & Content Products pillar, 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 cloud based analytics platform to help develop and deploy advanced analytics/machine learning solutions.
Responsibilities:
- Design and develop efficient and scalable data pipelines between enterprise systems and analytics platform
- Work closely with Data Science team and participate in development of feature engineering pipelines
- Provide technical expertise in the areas of design and implementation of Ratings Integrated Data Facility with modern AWS cloud technologies such as S3, Redshift, EMR, Hive, Data Bricks, Scala and Spark
- Build and maintain a data environment for speed, accuracy, consistency and up time
- Support analytics by building a world-class data lake environment that empowers analysts to determine insights into revenue and power products across the organization
- Work with the machine learning engineering team to build a data eco system that supports AI products at scale
- Ensure data governance principles adopted, data quality checks and data lineage implemented in each hop of the data
- Partner with the chief data office, enterprise architecture organization to ensure best use of standards for the key data domains and use cases
- Be in tune with emerging trends Big data and cloud technologies and participate in evaluation of new technologies.
- Ensure compliance through the adoption of enterprise standards and promotion of best practice / guiding principles aligned with organization standards
What Were Looking For
Basic Qualifications:
- BS or MS degree in Computer Science or Information Technology
- 4 to 8 years of experience as data engineer at an innovative organization
- 2 to 5 years of hands-on experience in implementing data lake systems using AWS cloud technologies such as S3, Redshift, EMR, Data Bricks, Hive, Presto and Spark
- Expert managing AWS services (EC2, S3, Route 53, ELB, VPC, cloudwatch, Lambda) in a multi account production environment
- Experience With Machine Learning Libraries and Frameworks (TensorFlow , MLlib) is an added advantage
- Exposure to R , SparklyR , and Other R packages is a Plus
- Experience with development frameworks as well as data and integration technologies such as Informatica, Python, Scala
- 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
- Ability to prioritize and manage work to critical project timelines in a fast-paced environment
- Financial services industry experience
Job Classification
Industry: IT Services & ConsultingFunctional Area:
Role Category: Data Science & Machine Learning
Role: Data Science & Machine Learning
Employement Type: Full time
Education
Under Graduation: B.Tech/B.E. in Any SpecializationPost Graduation: M.Tech in Any Specialization, MS/M.Sc(Science) in Any Specialization, MCA in Any Specialization
Doctorate: Any Doctorate
Contact Details:
Company: S&P Global MarketLocation(s): Mumbai
Keyskills: S3 hive Tensorflow Databricks Golden Gate scala kafka MLlib Spark
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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...
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