36 Job openings found

2 Opening(s)
3.0 Year(s) To 4.0 Year(s)
10.00 LPA TO 12.00 LPA
Location: Ahmedabad Role: Build, optimize, and maintain data pipelines and data platform components to support analytics and AI use cases for an e-commerce business. Key Responsibilities Develop and maintain batch & streaming data pipelines from transactional, clickstream, and third-party sources. Work on data lake / lakehouse / warehouse environments across cloud platforms (e.g., ...
1 Opening(s)
6.0 Year(s) To 7.0 Year(s)
16.00 LPA TO 18.00 LPA
Role: Lead the design, development, and optimization of data pipelines and data platform components for an e-commerce business. Work across ingestion, transformation, modeling, governance, and performance to support large-scale Data & AI use cases. Key Responsibilities Build and maintain scalable batch and streaming data pipelines from transactional systems, clickstream, and third-party sources. Implement ...
1 Opening(s)
3.0 Year(s) To 7.0 Year(s)
0.00 LPA TO 8.40 LPA
About the role We are building the analytics layer over our ERP app. You’ll own the analytics engineering core: modelling raw change-data into clean marts, instrumenting tests/docs, and shipping decision-grade dashboards that our users can reason over. Model the warehouse Design and implement stg_ , dim_ , fact_ , and mart_ layers in ...
2 Opening(s)
5.0 Year(s) To 10.0 Year(s)
0.00 LPA TO 24.00 LPA
Job Title: Senior Netezza Developer Location: Remote Job Type: Contract Experience: 5 - 10 Years Department: Data Engineering / Business Intelligence / IT Job Summary: We are seeking a highly skilled Senior Netezza Developer to join our data engineering team. The ideal candidate will have extensive experience working with IBM Netezza (PureData System for Analytics), developing ...
7 Opening(s)
12.0 Year(s) To 22.0 Year(s)
40.00 LPA TO 60.00 LPA
Experience: 12-22 years Job Location: Any Tech Mahindra Location India No of Positions: 7 to 8 Notice Period: 0-60 Days Only Budget: up to 60 LPA   Job Description: 12 to 22 years of experience in Data Analytics spread across on-premise & cloud implementations Experience in one of the cloud platforms – Google Cloud, Azure, AWS or Snowflake ...
5 Opening(s)
6.0 Year(s) To 8.0 Year(s)
Not Disclosed by Recruiter
Job Description: We are seeking a highly skilled and motivated Data Engineer with expertise in SQL and DAX to join our team. As a Data Engineer, you will be responsible for designing, building, and maintaining the data infrastructure that supports our organization's data needs. Your role will involve working closely ...
5 Opening(s)
8.0 Year(s) To 15.0 Year(s)
14.00 LPA TO 24.00 LPA
Hello , Greetings from MM Management !! I am krishna kanth from MM Management, MM Management is into global recruitment services providing manpower across the globe.   About company- global consulting company offering solutions, services and platforms on Open Source, Cloud and Automation technologies. Since 2000, Company has been delivering enterprise class solutions, which are ...
5 Opening(s)
6.0 Year(s) To 14.0 Year(s)
7.00 LPA TO 23.00 LPA
Hello , Greetings from MM Management !! I am krishna kanth from MM Management, MM Management is into global recruitment services providing manpower across the globe.   About company- global consulting company offering solutions, services and platforms on Open Source, Cloud and Automation technologies. Since 2000, the company has been delivering enterprise class solutions, which ...
2 Opening(s)
8.0 Year(s) To 10.0 Year(s)
20.00 LPA TO 21.00 LPA
Responsibilities Roles And Responsibilities Of Cloudera & Spark Developer Secure data management and portable cloud-native data analytics delivered in an open, hybrid data platform. Whether you're powering business-critical AI applications or real-time analytics at scale, Cloudera Data Platform enables your business to do anything with your data, anywhere, securely. What is Cloudera ...
1 Opening(s)
4.0 Year(s) To 8.0 Year(s)
0.00 LPA TO 16.00 LPA
4+ years of working experience on AWS (We need application development experience and not Infrastructure) Should be well versed with Orchestration components like – Lambda, Step functions, Event Bridge & CloudWatch Should be well versed with GITHUB and CICD for AWS components deployment. Should be well versed with AWS Glue, DynamoDB, Redshift, EC2, S3 ...

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