0 - 3 years

2.0 - 5.0 Lacs P.A.

Bengaluru

Posted:2 months ago| Platform: Naukri logo

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Skills Required

SASData modelingAnalyticalMachine learningCloudAgileData miningAWSSQLPython

Work Mode

Work from Office

Job Type

Full Time

Job Description

- Ability to translate technical aspects of analysis and metricsinto actionable insights. - Excellent data driven storytelling skills. - Create and deliver compelling dashboards with visualization,and writing the document to explain the analysis, and providing insights. - Comfortable presenting complex analysis in a simple way. - Advanced in SQL, ability to write complex queries from scratchfrom multiple tables, creating the appropriate joins, extracting, andmanipulating data, formatting fields, creating new measures and metrics, etc. - Working experience with visualization tools (AmazonQuickSight, Tableau, Power BI, etc.), ability to create interactive,user-friendly, and compelling dashboards and reports. - Fluency with an advanced analytical tool (Python, R, SAS,etc.) - ability to run advanced statistical modeling and testing in one of theabove languages. - Experience in working with databases and data miningtechniques in a business environment - Understanding of data warehousing and data modeling concepts. - Be well-versed in cloud technologies, specifically AWSservices, and have a robust understanding of Machine Learning models,especially in the domain of AWS Sagemaker. - Collaborate closely with Cloud Infrastructure Engineers toenhance our AIOps product development - Design, develop, and deploy Machine Learning models on AWSSagemaker. - Optimize models for scalability, efficiency, and real-timeperformance. - Document all processes, models, and procedures to ensure bestpractices. - Design and implement data pipelines using AWS Glue andorchestrate workflows with Airflow for batch, streaming, and API ingestion. - Develop API ingestion pipelines using AWS API Gateway. - Collaborate with Solution Architects to enhance the dataingestion framework using AWS native services. - Build and enhance Python, PySpark-based frameworks foringestion. - Utilize AWS Data Services such as Glue, EMR, Airflow,CloudWatch, Lambda, Step Functions, and Event Triggers. - Act as a senior engineer with a sole interaction point withdifferent business functional teams. - Excellent organizational, interpersonal, and communicationskills (both written and verbal). - Ability to effectively manage competing priorities in acomplex work environment, focusing on high-value activities.

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