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Senior Python developer builds and maintains REST APIs and data pipelines using Django/Flask/FastAPI and Azure tools to support semiconductor manufacturing analytics.
Design, build, and operate cloud-native data platforms across AWS and Azure using Databricks and Microsoft Fabric, covering the full data lifecycle from ingestion through transformation, modelling, and serving to enable analytics and AI use cases.
Data Engineer designing and building cloud-based data pipelines using Databricks, Apache Spark, and PySpark for a financial services tech team, with strong SQL, Python, and CI/CD skills.
Hands-on Data Architect/BI Consultant designing and optimising cloud-based data warehouse and pipeline solutions across the Azure stack, guiding BI Developers on a hybrid basis in London.
Senior Azure Data Engineer with 5+ years experience designing scalable data solutions on Microsoft Azure using tools like Azure Data Factory, Databricks, and Synapse.
Job Overview Design, build, and maintain scalable data pipelines and curated data assets on Databricks. Develop reliable ETL/ELT processes to ingest, transform, validate, and publish data from multiple sources using…
Job ID: 3147 We are looking for a Senior Data Engineer to join our Feature Engineering team. You will play a key role in transforming big and complex data into meaningful features that enables machine learning model to…
LET’S CUT STRAIGHT TO IT At Severn Trent, our people are at the heart of everything we do. We’re in the top 5% of utility companies worldwide for employee engagement, and we’re equally proud of our strong Glassdoor…
Senior ETL Developer working with Python, PySpark, Databricks, SQL, Teradata, and PL/SQL on Big Data/Data Science projects in Warsaw.
Build and deploy ML models in Python and PySpark on Databricks to forecast demand, optimize pricing, and improve business decisions.
Develops and validates ML models to solve business problems, analyzes large datasets for trends, and collaborates with teams to implement high-impact analytical solutions using Python and Spark.
Lead Data Engineer at RBC's Global Functions Technology designing and developing scalable data pipelines and infrastructure for the Enterprise ESG framework, using Hadoop, Spark, Python, Scala, and Hive.
Leads enterprise data governance programs, consulting, and Databricks practice development for a consulting firm, designing frameworks, policies, and client solutions for data stewardship, quality, and metadata management.
We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients. At CIBC, we embrace your strengths and your…
Data Engineer building and maintaining scalable ETL pipelines and data solutions using Microsoft Azure services such as Data Factory, Synapse, Databricks, and Fabric, with SQL, Python, and Spark.
Data Engineer designing, building, and maintaining scalable ETL data pipelines on Microsoft Azure (Data Factory, Synapse, Databricks, Azure Fabric) using SQL, Python, and PySpark in a hybrid setup in the Philippines.
Leads data engineering projects by designing scalable pipelines, mentoring teams, and optimizing cloud-based data systems using SQL, Python, PySpark, Databricks, and AWS.
Senior Data Engineer leading complex data solutions from design to deployment, building high-performance pipelines with SQL, Python, PySpark, Databricks, and AWS while mentoring teammates and engaging with clients.
Designs and maintains scalable, reliable data pipelines while improving the data platform’s quality and performance using Databricks, PySpark, and Airflow.
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