Average salary: Rs616,153 /yearly
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- Company Overview Pinnacle Infotech values inclusive growth in an agile, diverse environment. With 30+ years of global experience, 3,400+ experts completed 15,000+ projects across 43+ countries for 5,000+ clients. Join us for rapid advancement, cutting-edge training, and ...Suggested
- Company Overview Pinnacle Infotech values inclusive growth in an agile, diverse environment. With 30+ years of global experience, 3,400+ experts completed 15,000+ projects across 43+ countries for 5,000+ clients. Join us for rapid advancement, cutting-edge training, and ...Suggested
- Experience: 3.00 + years Salary : Confidential (based on experience) Expected Notice Period : 30 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Hybrid () Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: ...SuggestedPermanent employmentFull timeContract workHybrid workRemote jobShift work
- Accepted Locations We accept applicants from the US, Canada, and most countries in LATAM and Europe. We are also accepting candidates from some countries in Africa and Asia. For the complete list of accepted locations, click here . This work is 100% remote. Loom Video...SuggestedRemote jobHourly payWeekly pay40 hours per weekLong term contractFull timeContract workFlexible hours
- JOB_POSTING-3-80314-4 Job Description Role Title: Data Engineer (L8) COMPANY OVERVIEW: Synchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industry's most complete digitally enabled product suites. Our experience, expertise...SuggestedWork at officeWork from homeFlexible hours
Rs 15 - 30 lakhs p.a.
• Translate customer requirements into scalable data architecture and high-performance cloud data solutions • Design and implement data ingestion pipelines using Snowpipe and SnowSQL • Build and manage data platforms using AWS services such as EMR, Redshift, S3, Kinesis,...SuggestedRs 4.5 - 9 lakhs p.a.
Key Responsibilities Architect and manage end-to-end data solutions using Microsoft Fabric components including OneLake, Synapse, and Power BI Design, develop, and optimize data pipelines using Azure Data Factory, Spark, SQL, and Python/PySpark Build and maintain Lakehouse...Suggested
