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The Senior Data Engineer will design and build a modern, cloud-based data platform for RTÉ using Microsoft Fabric and Azure technologies. The role involves developing end-to-end data pipelines, maintaining lakehouse architectures, and mentoring team members to support data-driven decision-making.
The Senior BI Engineer & Data Platform Lead will manage data pipelines, semantic models, and Power BI reporting while mentoring the team and driving automation strategy for the Lakehouse.
0012522 - AZURE Data Engineer - ADF, ADB, PySpark, SQL, and architecting ETL frameworks. (Toronto, ON, M5A 3N7), Canada 10 - 15 Years N/A Posted 1 week ago Job Description Role: AZURE Data Engineer - ADF, ADB, PySpark,…
The Data Engineer will design and maintain high-volume data pipelines using Databricks, Spark, and Delta Lake to support stakeholder engagement platforms. The role involves collaborating with data scientists to transform raw data into clean, analysis-ready inputs.
Data Engineer & Analyst at RBC leading data analysis and pipeline design for the Climate Data Strategy portfolio, bridging business requirements and tech delivery using Python, PySpark, and SQL.
Build and maintain climate-risk data pipelines and models for a large bank, translating ESG and regulatory needs into Python/Spark pipelines and specs for engineering teams.
Ascendum Solutions is hiring a Data Engineer to migrate a legacy Netezza environment to Databricks. The role involves building scalable PySpark pipelines and implementing CI/CD and data quality processes within a Medallion architecture.
The Azure Data Engineer will design, develop, and maintain scalable data pipelines and analytics solutions using Azure Data Factory, Databricks, dbt, and Python. The role involves building data warehouses, creating Power BI dashboards, and ensuring data quality and performance in a hybrid work environment.
Azure Data Engineer designing and delivering Azure-based data platforms and ETL pipelines using Databricks, Synapse Analytics, and PySpark, with Dutch language skills required for a hybrid role in the Zwolle region.
Azure Data Engineer designing and building cloud data pipelines and platforms using Azure, Databricks, and Synapse Analytics for a Dutch technology consultancy in a hybrid role.
The Senior Data QA Engineer will develop automated testing frameworks for data pipelines using Python, PySpark, and Databricks tools. The role focuses on ensuring data integrity, validating transformations, and verifying governance controls within a lakehouse environment.
Develops and maintains reports for a stock trading system, collaborating with stakeholders to design, validate, and deploy data-driven solutions using SQL, PySpark, and BI tools.
Designs and maintains scalable data pipelines and warehouse models to process raw data into high-value assets using PySpark, Spark, or Hadoop.
Data Engineer designing and optimizing scalable data pipelines and infrastructure using Python, Scala, or Java with big-data frameworks like Spark, Hadoop, or Flink.
The Data Engineer will work on AWS-based projects, focusing on data pipeline development and orchestration using Spark, Python, Airflow, and container technologies. The role requires knowledge of open-source tools like Kafka and dbt, with additional preference for experience in Java, Qlik, and Databricks.
Builds and maintains AI-driven document parsing pipelines (OCR, VLM, multimodal AI) for SingTel’s AIDA unit, extracting structured/unstructured data (PDFs, images, audio, etc.) and optimizing embedding models for semantic search and GenAI applications.
Senior Data Engineer working with Microsoft Fabric, PySpark, SQL, and CI/CD/Git in a Big Data and analytics context.
The HR Ally in Sydney is seeking an experienced Data Engineer to join a team delivering enterprise-scale data platforms and real-time data solutions on AWS. The role emphasizes scalable pipelines using PySpark,…
Hands-on Senior Data Architect leading large-scale migration of legacy data warehouses to a Databricks lakehouse on AWS for clinical and non-clinical data, combining 70% coding/building with 30% strategy at Eli Lilly in Bangalore.
Design and build a Databricks lakehouse to modernize legacy clinical and non-clinical data platforms, writing PySpark pipelines and setting governance standards for AI-ready, audit-compliant data products.
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