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Data Engineer & AI Specialist at Infineon Technologies in Malaysia, building scalable data pipelines, deploying ML/AI models, and developing Power BI dashboards to drive quality improvement and manufacturing excellence.
This role is for a mid-level Data Engineer to design and optimize cloud-based data pipelines and warehouses on AWS while acting as a consultant to support presales and customer delivery. The position requires a blend of hands-on technical expertise in SQL, Python, and AWS services with strong communication skills to translate business challenges into scalable technical solutions.
Data Engineer designing and optimizing cloud data Lakehouse architecture, building scalable ELT pipelines with Python, SQL, Snowflake, and AWS, while implementing dbt transformations, data governance, and CI/CD for data workflows.
Data Engineer building and maintaining data pipelines, ETL/ELT processes, data lakes, and warehouses using Python/Java/Scala, SQL, Spark, and cloud platforms (AWS/Azure/GCP) to support analytics and reporting for a diversified Malaysian conglomerate.
The Data Engineer will design, build, and maintain scalable data pipelines and infrastructure to support data-driven decision-making. The role involves working with ETL/ELT processes, cloud platforms, and data pipeline tools like Apache Airflow and Spark.
This Data Engineer role involves designing and optimizing scalable ETL/ELT pipelines to support large-scale AI and machine learning initiatives within a financial services organization. The engineer will work closely with cross-functional teams to ensure high-quality data availability, governance, and infrastructure performance.
The Data Engineer will design and implement robust data pipelines using Azure cloud services, Python, and PySpark to ensure seamless data flow and high-quality analytics. The role involves collaborating with stakeholders to optimize data ingestion and transformation processes across various enterprise systems.
The Senior Data Engineer will design and scale ELT pipelines using Snowflake, Airflow, and dbt to support analytics and AI platforms. The role involves implementing data quality standards, automating workflows, and collaborating with cross-functional teams to deliver reliable data products.
The Senior Data Engineer will design and scale ELT pipelines using Snowflake, Airflow, and dbt to support analytics and AI platforms. The role involves collaborating with cross-functional teams to ensure high-quality, well-modeled data delivery.
Lead AI & Data Analytics Engineer building AI-enabled analytics products for federal acquisition modernization using Palantir Foundry, Microsoft Power Platform, Databricks, SQL, and Python.
Senior Software Engineer at The New York Times builds data products and APIs to transform the company's content archive into structured data for internal and external use, using backend technologies and AI.
The Senior Software Engineer, Data Platform will lead the design and optimization of scalable batch and streaming data pipelines using Python, SQL, and AWS technologies. This role involves architecting enterprise cloud data platforms, managing ETL/ELT workflows, and utilizing AI-assisted tools to ensure system reliability and performance.
Data Scientist applying ML to marketing problems (MMM, forecasting, attribution) at a media advisory firm in Barcelona. Day to day involves building models in Python, writing SQL, managing ELT pipelines, and presenting findings to clients.
Descripción del trabajo Desde Grupo Aspasia buscamos un/a Data Engineering Manager para liderar la creación y evolución de nuestra plataforma de datos. Es una oportunidad para diseñar la arquitectura, construir un…
Senior Data Platform Engineer in Valencia designing and delivering lakehouse, catalog, and governance platforms, building large-scale ETL/ELT pipelines, and collaborating with ML teams and clients.
Senior data engineer owning end-to-end data platform design, governance, and large-scale ETL/ELT pipelines using Python, SQL, and cloud platforms in a hybrid role in Spain.
The Senior Data Platform Engineer will design and manage large-scale ETL/ELT pipelines, lakehouse architectures, and data governance frameworks. The role involves collaborating with ML/AI teams to build consumable data products and mentoring engineering staff.
The Lead Data Platform Engineer will design and manage lakehouse data platforms, data catalogs, and governance frameworks. The role involves building large-scale ETL/ELT pipelines and collaborating with ML/AI teams to ensure data accessibility and quality.
Atmira is seeking a Data Engineer to develop and maintain data ingestion and transformation pipelines using Python, SQL, and AWS technologies like S3 and Redshift. The role involves building ETL/ELT processes and datamarts in a hybrid, flexible work environment.
The Data Engineer will design, build, and optimize ELT pipelines and data models within a GCP environment. The role involves using dbt, Apache Airflow, and CI/CD tools to deliver reliable datasets while collaborating with Analytics and Data Science teams.
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