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Senior Data Engineer leading the data warehouse, pipelines, and semantic layer at ZenaTech, unifying acquired companies' data using cloud warehouses (Snowflake/BigQuery/Redshift/Databricks) and dbt.
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.
Design and optimize scalable ETL pipelines and data architectures using Microsoft Fabric and Azure to enable analytics and reporting across the organization.
Senior Data Engineer builds and maintains a unified operational data warehouse and pipelines to consolidate financial and job data from acquired companies, enabling analysts to query a single source of truth.
Senior Data Engineer at Scotiabank in Toronto designing, building, and maintaining scalable data pipelines and cloud data platforms using Azure, Databricks, and SQL/Python/Java/Scala, while leading a team of engineers.
Leads enterprise-scale data engineering at Citigroup, designing and optimizing high-throughput batch/real-time pipelines (Spark, Databricks, Kafka) while mentoring global teams and enforcing best practices for performance, governance, and compliance.
Data engineering role focused on data integration, quality monitoring, and pipeline optimization for the risk modelling and strategies team, using SQL, Python, Spark, Snowflake, and Databricks.
Develops and maintains business applications, APIs, reports, and scripts for Bulk Barn’s retail systems, ensuring performance and documentation compliance while collaborating with vendors and project teams.
Data Engineer designing and maintaining Azure-based ELT pipelines and data platforms, collaborating on data extraction, transformation, and loading into a data warehouse with a focus on data quality, governance, and automation in a hybrid setup.
Data Engineer designing, developing, and maintaining ETL pipelines and data solutions to ensure data quality and integration, primarily using Snowflake Data Warehouse and SQL in a Cebu-based role.
Data engineer designing, building, and maintaining Azure-based ETL pipelines and cloud data architectures for Manulife's enterprise data warehouse, with emphasis on automation, governance, and compliance in a hybrid setup.
Data Engineer responsible for designing, developing, and maintaining ETL/ELT pipelines and data architecture on Microsoft Azure, including Databricks, ADLS Gen2, ADF, and Synapse, while ensuring data governance and quality.
Design, develop, and maintain ETL/ELT pipelines and data architecture on Microsoft Azure (Data Factory, Databricks, Synapse) for Manulife's data warehouse in a hybrid setup in the Philippines.
Build and own Serval’s first unified data warehouse, consolidating fragmented data from Postgres and SaaS systems into a scalable, self-serve analytics layer. Partner with business teams to define key metrics and tools, ensuring data-driven decision-making while setting infrastructure standards for an AI-native automation platform.
Freelance Data Engineer optimizing BigQuery pipelines, structuring Git repos, and implementing CI/CD for an aerospace/defense data transformation program migrating BI to GCP.
Freelance Data Engineer optimizes a GCP-based Data Warehouse for an aerospace/defense client, improving BigQuery performance, Git repo structure, and CI/CD pipelines while reducing technical debt.
General Summary: Under the general direction of the Project Manager, Manager, or the Director, develops and enhances a Customer Facing Digital Solutions environment, which includes design, architecture, programming,…
Data Engineer focused on data governance and security for a financial institution, optimizing ETL/ELT pipelines in Python, managing Cloud/Data Lake ecosystems, and enforcing data access controls and traceability.
Backend developer bridging backend and data engineering on a greenfield content platform for a media client, using Java 21, Python, Go, and AWS services to build data pipelines and APIs.
Beghou brings over three decades of experience helping life sciences companies optimize their commercialization through strategic insight, advanced analytics, and technology. From developing go-to-market strategies and…
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