Jeevan Technologies (a Nobl Q company)
B2B • Enterprise • Artificial Intelligence
Jeevan Technologies (a Nobl Q company) is a digital transformation and enterprise technology consultancy that helps mid-market and enterprise clients modernize ERP, cloud and application landscapes. It provides advisory and professional services (technology and business-process advisory, product design and business value assessment), platform implementations (SAP, Oracle, Salesforce, Microsoft, ServiceNow), custom development (front-end, back-end, enterprise integration), embedded & IoT engineering, data management, and AI/machine-learning solutions, plus managed services to automate operations and deliver industry-specific solutions.
501 - 1000 employees
Founded 2000
🤝 B2B
🏢 Enterprise
🤖 Artificial Intelligence
Data Engineer
Job not on LinkedIn
October 9
Jeevan Technologies (a Nobl Q company)
B2B • Enterprise • Artificial Intelligence
Jeevan Technologies (a Nobl Q company) is a digital transformation and enterprise technology consultancy that helps mid-market and enterprise clients modernize ERP, cloud and application landscapes. It provides advisory and professional services (technology and business-process advisory, product design and business value assessment), platform implementations (SAP, Oracle, Salesforce, Microsoft, ServiceNow), custom development (front-end, back-end, enterprise integration), embedded & IoT engineering, data management, and AI/machine-learning solutions, plus managed services to automate operations and deliver industry-specific solutions.
501 - 1000 employees
Founded 2000
🤝 B2B
🏢 Enterprise
🤖 Artificial Intelligence
📋 Description
• Design and implement ETL pipelines to support machine learning and data analytics workflows. • Conduct exploratory data analysis (EDA) to uncover patterns, ensure data quality, and support downstream applications. • Develop and maintain scalable DataLake solutions leveraging the AWS ecosystem. • Perform data wrangling and transformation tasks using Python and cloud-native tools. • Collaborate with data scientists and security teams to support analytics use cases.
🎯 Requirements
• Minimum of 3 years of experience as a Data Engineer with strong Python skills in ETL and ML engineering. • Hands-on experience with ETL processes, EDA techniques, and DataLake development. • Proficient in AWS services including EC2, Athena SQL, and related data tools. • Demonstrable experience in data wrangling and transformation tasks. • Preferred: Experience with Cribl and/or cybersecurity data analytics.
🏖️ Benefits
• Full time remote position
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