Overview
Experience: 5.00 + years
Salary: INR 1800000-2800000 / year (based on experience)
Expected Notice Period: 15 Days
Shift: (GMT+05:30) Asia/Kolkata (IST)
Opportunity Type: Remote
Placement Type: Full Time Permanent position(Payroll and Compliance to be managed by: Intelebee LLC)
(*Note: This is a requirement for one of Uplers' client - Intelebee LLC)
What do you need for this opportunity?
Must have skills required:
Data Governance, Lakehouse architecture, Medallion Architecture, AWS Lambda, Azure DataBricks, Azure synapse, Data Lake Storage, Azure Data Factory
Intelebee LLC is Looking for:
Data Engineer:We are seeking a skilled and hands-on Cloud Data Engineer with 5-8 years of experience to drive end-to-end data engineering solutions. The ideal candidate will have a deep understanding of dimensional modeling, data warehousing (DW), Lakehouse architecture, and the Medallion architecture. This role will focus on leveraging Azure's/AWS ecosystem to build scalable, efficient, and secure data solutions. You will work closely with customers to understand requirements, create technical specifications, and deliver solutions that scale across both on-premise and cloud environments.
Key Responsibilities:
End-to-End Data Engineering
Lead the design and development of data pipelines for large-scale data processing, utilizing Azure/AWS tools such as Azure Data Factory, Azure Synapse, Azure functions, Logic Apps , Azure Databricks, and Data Lake Storage. Tools, AWS Lambda, AWS Glue
Develop and implement dimensional modeling techniques and data warehousing solutions for effective data analysis and reporting.
Build and maintain Lakehouse and Medallion architecture solutions for streamlined, high-performance data processing.
Implement and manage Data Lakes on Azure/AWS, ensuring that data storage and processing is both scalable and secure.
Handle large-scale databases (both on-prem and cloud) ensuring high availability, security, and performance.
Design and enforce data governance policies for data security, privacy, and compliance within the Azure ecosystem.
5
How to apply for this opportunity?
Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement.
(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).
So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!
Salary: INR 1800000-2800000 / year (based on experience)
Expected Notice Period: 15 Days
Shift: (GMT+05:30) Asia/Kolkata (IST)
Opportunity Type: Remote
Placement Type: Full Time Permanent position(Payroll and Compliance to be managed by: Intelebee LLC)
(*Note: This is a requirement for one of Uplers' client - Intelebee LLC)
What do you need for this opportunity?
Must have skills required:
Data Governance, Lakehouse architecture, Medallion Architecture, AWS Lambda, Azure DataBricks, Azure synapse, Data Lake Storage, Azure Data Factory
Intelebee LLC is Looking for:
Data Engineer:We are seeking a skilled and hands-on Cloud Data Engineer with 5-8 years of experience to drive end-to-end data engineering solutions. The ideal candidate will have a deep understanding of dimensional modeling, data warehousing (DW), Lakehouse architecture, and the Medallion architecture. This role will focus on leveraging Azure's/AWS ecosystem to build scalable, efficient, and secure data solutions. You will work closely with customers to understand requirements, create technical specifications, and deliver solutions that scale across both on-premise and cloud environments.
Key Responsibilities:
End-to-End Data Engineering
Lead the design and development of data pipelines for large-scale data processing, utilizing Azure/AWS tools such as Azure Data Factory, Azure Synapse, Azure functions, Logic Apps , Azure Databricks, and Data Lake Storage. Tools, AWS Lambda, AWS Glue
Develop and implement dimensional modeling techniques and data warehousing solutions for effective data analysis and reporting.
Build and maintain Lakehouse and Medallion architecture solutions for streamlined, high-performance data processing.
Implement and manage Data Lakes on Azure/AWS, ensuring that data storage and processing is both scalable and secure.
Handle large-scale databases (both on-prem and cloud) ensuring high availability, security, and performance.
Design and enforce data governance policies for data security, privacy, and compliance within the Azure ecosystem.
5
How to apply for this opportunity?
- Step 1: Click On Apply! And Register or Login on our portal.
- Step 2: Complete the Screening Form & Upload updated Resume
- Step 3: Increase your chances to get shortlisted & meet the client for the Interview!
Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement.
(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).
So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!
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