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| Job Location | Hyderabad |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | IT - Software |
| Functional Area | Web / Mobile Technologies |
| EmploymentType | Full-time |
The Content Collection Services team specializes in the development and maintenance of financial data research applications used by internal research analysts globally for the collection of our proprietary content. It is composed of highly talented and motivated individuals. The team is responsible for developing and enhancing tools that solves problems on the production floor with specific focus on Timeliness, Accuracy, Content, Coverage and usability, along with productivity of the operations. The team also develops common products that are integrated with many other tools as well.JOB RESPONSIBILITIESJOB REQUIREMENTSDesign and implement data platform architecture providing access to large datasets, data ingestion pipelines and data infrastructureExplore and evaluate new data technologies to build a scalable, cloud-oriented data platformMake large and/ or complex data more accessible, understandable and usable by implementing advanced APIs for storage and querying.Create unified enterprise data models for analytics, mining and reportingInterface with various teams to support their needs (cognitive computing, content, other engineering teams) Collaborate with engineering, cloud infrastructure and security teams to understand the requirements and develop highly scalable systemAs part of Agile development team contribute to architecture, tools and development process improvements.12+ years of overall industry experience.Bachelor or master s degree in computer science, Math, or Engineering5+ years of working experience in software development3+ years of relevant experience in one of the following areas: Data engineering, business intelligence or business analytics2+ years of experience in building data ingestion and ETL pipelines/ supporting a large dataplatform and data pipeliningExperience with modern data platforms such as Spark, Hadoop or other map/ reduce big data systems and servicesExperience with a variety of data stores such as ArangoDB, MongoDB, Cassandra, HBase, DynamoDBExperience with AWS environment e.g., Amazon Kinesis, AWS Glue, Redshift, EC2, S3, EMRStrong experience and proficiency with Python, Pandas, Numpy and AWS APIsExperience with Github-based development processesExperience with Agile/ Scrum developmentExpertise in database design and architectural principles and methodologiesOrganized, self-directed, and resourceful with the ability to appropriately prioritize work in a fastpaced environment HIGHLY DESIRED: Knowledge of Unix-based operating systems,
Keyskills :
java mvc jquery inancialdata computerscience workingexpe dataresearch dataengineering sqlserver enterprisedata databasedesign bigdata customerrelations operatingsystems agiledevelopment datamodels