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| Job Location | Hyderabad |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | FMCG / F&B |
| Functional Area | General / Other Software |
| EmploymentType | Full-time |
This role will be responsible for Solution Architecture, Design, develop, test, and implement Advanced Analytics capabilities at PepsiCo. These capabilities include Batch and Streaming Analytics, Machine learning models, Natural Language processing and Natural language generation and other emerging technologies in the field of Advanced Analytics. This role is expected to implement cutting edge solutions by building Semantic and Virtual data layers to provide faster and federated query execution. This role will be required to evaluate new tools and technologies to recommend their fit for our Advanced Analytics platform. This role is expected to explore and evaluate emerging Enterprise Data Science platforms to build and operationalize complex AIML models then implement the selected Data Science platform as a self-service platform. The work we are planning for him to do will enable our platform to reach front line associates which can expand the impact of the analytics team. This role is expected to support several groups in GD&A (Advanced Analytics solution development, Advanced Visualization, Data Technologies). This role will require to lead both technology and application solutions in the advanced analytics space.
QualificationsRequirements
Years of Experience: Qualifications: BABS required; preferably in Computer Science, Data Analytics, Data Architecture Required Skill set: 5+ years of experience in Hadoop eco system (Ex: Hive, Spark, Kafka, hBase, Oozie, Sqoop etc) 3 to 5 years of hands on experience in architecting, designing, and implementing data ingestion pipes for batch, real-time, and streams on Azure cloud platform at scale. 1 to 3 years of hands on experience on Databricks. 3 to 5 years of hands on experience with Azure cloud especially with Spark, ADLS, and Blob storage etc technologies. 1 to 2 years of experience on distributed querying tools like Presto or similar tools. 1 to 2 years of experience on virtualization tools like Denodo or similar tools. 1 to 3 years of experience in evaluating emerging technologies is required. Having experience in extractingqueryingJoining large amount of data sets at scale is essential. Knowledge of SAS, Teradata, Oracle etc other databases is a plus Experience in data wrangling, advanced analytic modeling, and AIML capabilities is preferred 1 to 3 years of experience in JavaPythonScala is preferable. Having exposure to R and ML technologies are a plus. Mandatory Technical Skills: DataBricks, Spark, ADLS, HDinsight, Presto, Denodo, Kafka, Hive, AIML, NLQ, Hadoop eco system, Azure cloud.
,Keyskills :
javacssdanishformsgatewaysource system analysisnatural language processingnatural language generationdata sciencedata analyticsdata wranglingenterprise datacomputer sciencemachine learningnatural languagedata architecturecommercial models