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Build and optimize financial reporting pipelines and data warehouses using PostgreSQL and Apache Airflow, collaborating with stakeholders to deliver accurate, automated analytics.
System Analyst (BI) supporting statistical/survey systems and data warehouses—gathering requirements, designing, implementing, and maintaining applications using IBM Mainframe, SAS, Teradata, SQL Server, SSIS, Tableau, and Informatica PowerCenter.
Design and govern HR data models and lead migration of the HR Warehouse to an enterprise Lakehouse (Azure Databricks, Delta Lake), partnering with data engineering and HR stakeholders to establish trusted, well-structured HR data for reporting and analytics.
Does an opportunity to create solutions for Enterprise Grade, large scale, cloud infrastructures interest you? Would you enjoy creating secure Kubernetes based frameworks for a global company? Join our Large solutions…
Design and implement data fabric architecture across heterogeneous data sources and platforms Develop scalable ETL/ELT pipelines for batch and real-time data integration Integrate structured and unstructured data from…
Feladatok Shape and implement the company’s data science strategy and drive innovation, with a primary focus on Generative AI and Agentic workflows Identify opportunities to leverage data for business value and impact…
Senior Lead Software Engineer on J.P. Morgan's F&O Execution Data Team in London, building and maintaining scalable data pipelines and real-time streaming solutions using Java, Apache Kafka, Python, and AWS services.
The Data Engineer will build end-to-end data solutions focusing on Operational Resilience, utilizing Python, SQL, and Google Cloud Platform. The role involves data modeling, graph analysis, and implementing data governance standards within an Agile environment.
Senior Data Engineer leading the design and operation of AWS-based data warehousing, ELT pipelines, QuickSight reporting, and GenAI/LLM-powered analytics capabilities for a fintech company.
Lead enterprise digital-transformation programs using Microsoft Dataverse, PowerApps, and Power BI, while driving Agile/Scrum delivery and AI tooling integration for a global IT-services provider.
Hands-on Senior Cloud Data Engineer designing and building GCP infrastructure and data solutions using Terraform, BigQuery, and dbt/Dataform for a New Zealand grocery retail cooperative.
The Commons Group is seeking a Platform & Integration Engineer to connect our growing ecosystem of systems across workspace, health club, hospitality and future ventures. You will own the integrations, APIs, data…
Data Engineer designing and building modern cloud data platforms on Microsoft Azure and Fabric, developing ELT pipelines, lakehouse solutions, and data models for enterprise consulting clients.
Design, build, and maintain scalable ETL/ELT pipelines and data models on Google Cloud Platform using Python, SQL, BigQuery, and Airflow, while ensuring data governance and collaborating with stakeholders.
Design, build, and maintain ETL data integration solutions using Informatica PowerCenter v10.2, IDMC, and PL/SQL, with a focus on performance tuning, troubleshooting, and cloud migration in an Agile team.
Provide superior operational support both on premise and in the Cloud Safeguard our client’s data Continuously monitor our environments to identify and implement operational improvement Ability to understand the code…
Senior DataOps/Cloud Data Engineer based on-site in Toronto, designing and optimizing Azure Data Factory and Databricks pipelines, migrating Informatica ETL to Azure ELT using Medallion Architecture, and connecting on-premises data sources for a government Community Services Cluster project.
Senior Data Engineer building scalable Snowflake-based data pipelines and warehouse solutions in the insurance sector, using AWS cloud services, Python, SQL, Java, and Scala on a 12-month hybrid contract in Toronto.
Data Engineer designing and building scalable cloud-based data pipelines, ETL processes, and data infrastructure using SQL, PySpark, and Databricks within JLL's Enterprise Data team.
Staff DevOps Engineer owning core infrastructure (Kubernetes, CI/CD, IaC, observability) that powers AI/ML systems for heavy industries, working across cloud and on-prem/edge environments.
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