Data Lake Architectures - 103+ job offers

Role Overview As a senior Data Engineer, you will design and implement high-scale, multi-tenant Data Lakehouse for our clients that serves as the backbone for both real-time analytics and advanced machine learning. Your mission is to move beyond traditional ETL, creating a "data supply chain" that l

🚀 We’re Hiring: Snowflake & Data Lake Professionals We are hiring for one of our esteemed clients for high-impact roles in Data Engineering / Data Platform . 🔎 Open Positions: Senior Data Engineer – 1 (8+ Years) Data Engineer – 2 (5+ Years) 💼 What You’ll Do: Senior Role: Drive end-to-end data

Data Warehouse Developer About the job If you are interested in juggling terabytes of data using the latest technologies, then this is the job for you! we are looking for an experienced DWH developer to join our Enterprise Data Warehousing team. We are currently working on a new data warehouse to ma

PrimarySkills: Azure DevOps, CI/CD, Azure Data Factory, Data Lake, Azure KubernetesServices. Secondary Skills:Terraform, Scripting, Agile. Excellent communication skills Good experience in setting up end-to-end CI/CD using Azure DevOps ( components such as webapp, function app, logic app, and APIM).

AWS Data Lake Architect We are seeking a highly experienced and hands-on AWS Data Lake Architect to lead our transition from a managed service provider to a dedicated in-house team. The ideal candidate will have 8 years of experience in data architecture and a proven track record of taking ownership

JSW Group

Design and implement data lake solutions to ingest, store, and process big data. Lead a team of data engineers and analysts to maintain and optimize the data lake infrastructure. Develop data governance policies and ensure data quality and security within the data lake. Collaborate with cross-functi

Architect, design and build Data Lake infrastructure platform, primarily based on AWS infrastructure, ensuring that the infrastructure is highly-available and secure. Power BI, MicroStrategy, Information Builders, and other reporting and analytical tools. Establishing enterprise scale data governanc

Architect, design and build Data Lake infrastructure platform, primarily based on AWS infrastructure, ensuring that the infrastructure is highly-available and secure. Power BI, MicroStrategy, Information Builders, and other reporting and analytical tools. Establishing enterprise scale data governanc

Architect, design and build Data Lake infrastructure platform, primarily based on AWS infrastructure, ensuring that the infrastructure is highly-available and secure. Power BI, MicroStrategy, Information Builders, and other reporting and analytical tools. Establishing enterprise scale data governanc

Mondelēz International

Description Are You Ready to Make It Happen at Mondelēz International? Join our Mission to Lead the Future of Snacking. Make It Uniquely Yours. Support the day-to-day operations of these GCP-based data pipelines, ensuring data governance, reliability, and performance optimization. Hands-on experienc

Mondelēz International

Description Are You Ready to Make It Happen at Mondelēz International? Join our Mission to Lead the Future of Snacking. Make It Uniquely Yours. Support the day-to-day operations of these GCP-based data pipelines, ensuring data governance, reliability, and performance optimization. Hands-on experienc

Synechron

Job Summary Synechron is seeking an experienced AI/ML Data Engineer specialized in processing unstructured data and integrating advanced language models within enterprise environments. This role involves designing scalable data pipelines, implementing document cleansing, classification, and enrichme

Synechron

Job Summary Synechron is seeking a highly skilled Data Engineer with Microsoft Azure, Fabric Stack, and Lakehouse expertise to support enterprise data platform initiatives. This role focuses on designing, developing, and maintaining scalable data pipelines leveraging Microsoft Fabric (OneLake, Data

We are looking for a skilled Data Engineer with 5–7 years of experience in Microsoft Fabric and Delta Lake, ETL development and SQL. The role involves designing and maintaining scalable data pipelines using Azure Data Factory (ADF), ensuring reliable data integration and performance across systems.

thinkbridge

We are looking for a skilled Data Engineer with 5–7 years of experience in Microsoft Fabric and Delta Lake, ETL development and SQL. The role involves designing and maintaining scalable data pipelines using Azure Data Factory (ADF), ensuring reliable data integration and performance across systems.

*About This Role** 5 to 8 years of experience *Skills:** Data Lake, AWS Redshift, Data Engineer *Job Title:** Data Engineer - AWS Redshift and Data Lake We are seeking an experienced Data Engineer with strong expertise in building scalable data platforms on AWS. The ideal candidate will design, deve

thinkbridge

We are looking for a skilled Data Engineer with 5–7 years of experience in Microsoft Fabric and Delta Lake, ETL development and SQL. The role involves designing and maintaining scalable data pipelines using Azure Data Factory (ADF), ensuring reliable data integration and performance across systems.

thinkbridge

We are looking for a skilled Data Engineer with 5–7 years of experience in Microsoft Fabric and Delta Lake, ETL development and SQL. The role involves designing and maintaining scalable data pipelines using Azure Data Factory (ADF), ensuring reliable data integration and performance across systems.

thinkbridge

We are looking for a skilled Data Engineer with 5–7 years of experience in Microsoft Fabric and Delta Lake, ETL development and SQL. The role involves designing and maintaining scalable data pipelines using Azure Data Factory (ADF), ensuring reliable data integration and performance across systems.

thinkbridge

We are looking for a skilled Data Engineer with 5–7 years of experience in Microsoft Fabric and Delta Lake, ETL development and SQL. The role involves designing and maintaining scalable data pipelines using Azure Data Factory (ADF), ensuring reliable data integration and performance across systems.