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The Data Engineer will lead the evolution of the company's data platform, reporting, and automation systems. The role involves working closely with the CIO on BI initiatives, web application improvements, and ETL processes using SQL Server, MySQL, Power BI, and Power Automate.
Data Engineer on the Azure cloud team at NTT Data Argentina, designing data ingestion and processing solutions and collaborating with business areas to deliver results.
Data Engineer designing and building ETL/ELT processes on Azure using SQL and Python for a global IT services firm.
Leads cross-functional data and analytics programs for a Fortune 500 customer base, coordinating teams to deliver cloud-based solutions using GCP, Databricks, Tableau, and Anaplan.
Designs and maintains scalable data pipelines and warehouses for a cloud-based AI-driven business planning platform, using BigQuery, Databricks, Airflow, and Python.
The Senior Software Engineer will build and maintain scalable, distributed data systems and integrate open-source software with Apple's internal ecosystem. The role focuses on developing data applications, optimizing SQL processes, and supporting AI-powered innovation using cloud technologies.
The Data Engineer will design, build, and maintain reliable data ingestion and transformation pipelines using AWS and Databricks. The role involves developing data processing layers, ensuring data quality, and collaborating with cross-functional teams to deliver production-ready data solutions.
This role involves designing and implementing banking data pipelines, processing data from various sources, and writing SQL for reporting. The position requires expertise in Python, Spark, Teradata, and Hadoop within a data engineering context.
The Lead Data Engineer will design and build scalable data platforms and pipelines to support analytics, digital products, and AI/ML workloads. This hands-on leadership role involves mentoring engineers, establishing engineering standards, and leveraging AI-enabled tools to optimize data workflows.
The GCP Data Engineer will design, develop, and maintain scalable data pipelines and ETL/ELT processes on Google Cloud Platform. The role involves optimizing data warehouses and collaborating with cross-functional teams to support business intelligence initiatives.
Mid-level Data Engineer building and maintaining scalable data pipelines and ETL/ELT processes using Databricks, Apache Spark, and cloud platforms (Azure/AWS/GCP) at an engineering services firm.
Data Engineers will focus on the design and build out of data models, codification of business rules, mapping of data sources to the data models (structured and unstructured), engineering of scalable ETL pipelines,…
Шукаємо аналітика клієнтських BI-проєктів — людину, яка вміє перетворити фразу “хочу красивий дашборд” на зрозуміле ТЗ, датасет, метрики, фільтри й задачі для команди. Ідеально, якщо ти можеш по запиту “Хочу бачити…
This Senior BI Developer role involves designing and implementing modern data solutions using Microsoft Fabric, Power BI, and Azure. The position focuses on building data pipelines and warehouses while integrating AI-driven applications, automation, and agents into client projects.
Synthflow AI is an enterprise AI agent platform that unifies customer operations across voice, chat, and messaging. Our agents handle routine interactions at scale so teams can focus on high-value work. Over 20M hours…
Senior Business Analyst in mortgage servicing operations who analyzes business processes and system data to identify trends and improvement opportunities, building reporting solutions and dashboards using Snowflake, SQL, and Tableau.
The Data Engineer will design, build, and maintain scalable data pipelines to support analytics and machine learning initiatives. The role focuses on ETL/ELT development, data warehouse and lake architecture, and ensuring data quality and security.
IGO TECHONOLOGIES is seeking a Data Engineer – Data Warehouse with strong ETL experience using IBM DataStage, SQL, Unix/Shell scripting, and enterprise databases. You will work with DB2, Netezza, Snowflake, and…
Data Engineer building and optimizing enterprise ETL pipelines using IBM DataStage, SQL, Unix/Shell scripting across DB2, Netezza, and Snowflake, with Control-M for workflow scheduling.
Data Engineer building and optimizing scalable ETL pipelines on Azure and Databricks using Python/PySpark and SQL for an enterprise data platform initiative.
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