Showing 7,386 Big Data Engineer Jobs in Central Remote

Job Title: Lead Synapse Data Engineer Job Summary The Lead Synapse Data Engineer is responsible for leading the design, development, deployment, and support of

Key Responsibilities: Execute a comprehensive data processing monitoring strategy which aligns with the organization's Data Processing Standards and business ob

Role Purpose The Lead Data Engineer is responsible for leading the design, development, and implementation of enterprise-scale data platforms, data pipelines, a

Required Qualifications Bachelors degree in computer science, Engineering, Information Systems, or related field Hands-on data engineering experience, with Azure Databricks and Azure Data Lake Proficiency in PySpark, SQL, and ETL/ELT pipeline design Demonstrated experience building granular data qua

Main Roles and Responsibilities : - Design, develop, and implement ETL pipelines for the continuous deployment and integration. - Collaborate with other data engineers and data scientists to understand data requirements and optimize data solution processes. - Assure that data is cleansed, mapped, tr

Role & responsibilities Key Responsibilities Design, develop, and maintain scalable data pipelines, ETL/ELT workflows, and data integration solutions. Develop and optimize complex SQL queries, views, stored procedures, and data models for analytics and operational reporting. Integrate data from REST

Job Summary We are seeking an experienced Azure Data Engineer with a strong background in Java or C# software development to design, build, and maintain scalable cloud-based data solutions. The ideal candidate will have hands-on expertise in Azure data services, ETL/ELT pipelines, data warehousing,

Role & responsibilities Senior Azure Data Engineer ( Microsoft Azure Data Bricks Certificate and BPO Background mandatory) zure SQL Experience: Azure SQL Database or server Database design and optimization Query optimization Data transformation processes Data management in Azure Azure Data Factory E

Job Description Design, develop, and maintain scalable ETL/ELT data pipelines using Azure Data Factory and Databricks.• Develop data transformation and processing logic using PySpark, Python, and Spark SQL.• Build and maintain Databricks notebooks, workflows, and Spark-based data processing jobs.• D

Roles and Responsibilities : Design, develop, test, deploy and maintain large-scale data pipelines using Azure Data Factory (ADF) to extract, transform, load data from various sources into Azure storage solutions. Collaborate with cross-functional teams to gather requirements for data processing nee