Data Engineering Specialist
hace 1 día
Department Overview - Data Solutions
We are the commercial data business of Moody's Analytics, bringing together a vast catalogue of data to help business decision-makers assess risks and opportunities. Our division is best known for Orbis, the world's most useful and usable database of companies.
We are also the definitive source of ratings-related data for companies and securities that have been rated by Moody's Investors Service. Our team develops robust systems that leverage the latest in data-at-rest, data-in-motion and data remediation technologies.
Domain Overview
Data has become a critical asset for enterprises, playing a pivotal role in various aspects of business operations and strategic decision-making. Our proprietary datasets power a diverse set of products and services and have an ever-increasing set of demands for expanded coverage and data quality.
We develop solutions that continue to service existing customers and supercharge growth opportunities. Our Data Platform leverages best-in-class cloud technologies, frameworks with an emphasis on code isolation, simplifying data access controls and operations, and enhancing data security.
Role Overview
We are seeking a highly skilled Python developer to join our team. Responsibilities include maintaining the existing data pipeline codebase, participating in exploratory projects, using Git for version control, collaborating with other developers, expanding unit test coverage, implementing new data pipelines, and adhering to Agile software development methodologies.
Key Requirements
- Able to build some data pipeline on any cloud services such as AWS, Azure, GCP etc.
- Able to work well within the constructs of an agile development process, including SCRUM, Unit Testing, Continuous Build, and Integration, etc.
- Willingsness to learn innovative technologies, capable of self-directed learning.
- Exceptionally good verbal and written communication skills.
- Ability to handle multiple assignments concurrently and independently manage time.
- Works well in a fast-paced team environment; able to work under pressure to meet tight deadlines.
Desired Skills and Experience
- Apache Spark
- Proficiency in programming languages, especially Python, is typically required.
- Experience in building and optimizing 'big data' data pipelines, and data sets.
- Understanding of data structures and algorithms, as well as skills in distributed computing.
- The ability to develop procedures for data mining, data modeling, and data production.
- Experience with cloud services such as AWS, Google Cloud, or Azure can be important, as many businesses utilize these platforms for their data storage and processing needs.
Nice to Have
- Familiarity with data bricks delta lake
- Familiarity with Kafka streaming service.
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