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Freelance Data Engineer / BI & ETL Developer building modern ELT data pipelines and migrating legacy systems to new architectures using SQL, dbt, BigQuery, and Airflow within a team.
Senior Cloud Data Engineer designing and implementing data pipelines on Google Cloud using BigQuery and Dataproc, building RESTful services and data models while collaborating with data scientists and product teams.
Designs and maintains cloud-based data pipelines and infrastructure on Google Cloud, transforming raw data into actionable insights for media products. Core tech: Python, SQL, BigQuery, Dataproc, Kubernetes, and AI/ML tools.
The Lead Data & AI Engineer will design and maintain the data foundation for a group of over 40 companies, enabling both reporting and the deployment of AI agents. The role involves building ELT pipelines, managing data models in Google BigQuery, and integrating diverse ERP systems using Python and dbt.
This role involves building and maintaining scalable data pipelines using Java, Scala, and big data frameworks like BigQuery and Apache Spark. The engineer will collaborate with data science teams to support machine learning and AI initiatives within a high-performance marketing platform.
This Data Engineer role involves building and maintaining scalable data pipelines and architectures using DBT, SQL, and GCP within a retail environment. The engineer will collaborate with data scientists to support analytics and machine learning projects while ensuring high technical standards.
The Lead Data Engineer will design and maintain data architectures and pipelines while leading a small team of two engineers. The role involves a mix of data engineering and web fullstack development using Python, SQL, and Google Cloud technologies.
The Data Engineer will manage and scale the company's data platform, building robust pipelines and automating data processes using Python, SQL, and modern tools like GCP, BigQuery, and dbt. This role involves collaborating with cross-functional teams to ensure high data quality and accessibility across the organization.
This Data Engineer role involves building and maintaining scalable ETL/ELT pipelines using Informatica, Google BigQuery, and Python. The position focuses on optimizing data workflows, managing cloud datasets, and automating operational tasks in a 12-month contract capacity.
Build scalable ETL/ELT workflows, manage BigQuery datasets, and write optimized SQL, along with developing Python scripts and automating batch workflows in on-prem and cloud environments.
Analytics Engineer III building dbt models, SQL transformations, and Omni BI dashboards to surface insights on arbitration risk and product initiatives for an online used-vehicle marketplace.
GCP Data Engineer (hybrid in Kitchener) designing and building scalable data pipelines, ETL/ELT workflows, and data ingestion frameworks using BigQuery, Dataflow, Cloud Composer, Dataproc, Python, and SQL.
The Senior Data Engineer will design and build the company's data platform, including pipelines, data models, and orchestration systems. The role focuses on scaling data infrastructure using Python, SQL, and cloud-based data warehousing technologies.
Builds full-stack cloud applications (SPAs + backend APIs) for AI-driven analytics, market research, and ad tools, integrating LLM features and optimizing data pipelines.
Designs scalable data architectures on GCP, translating business needs into efficient BigQuery-based ingestion, processing, and analytics solutions with cost-performance focus.
Tata Consultancy Services in Mexico is seeking a GCP Integration Developer to join our product delivery teams. The role requires hands-on experience with GCP Pipelines, Pub/Sub, BigQuery, and Python, plus strong…
Senior Analytics Engineer building and maintaining a scalable analytics layer with dbt and BigQuery to power reporting, experimentation, and decision-making for Bioma (a D2C probiotic supplements brand under Kilo™).
Designs and builds data models, pipelines, and analytics foundations for Relay’s Last Mile logistics AI systems, ensuring real-time operational decisions and strategic insights while collaborating with cross-functional teams.
Senior Analytics Engineer building scalable dbt data models on BigQuery to power analytics across commercial, marketing, and clinical domains at a digital health platform.
The Senior Analytics Engineer will build and maintain a scalable analytics layer using dbt and BigQuery. The role involves collaborating with cross-functional teams to develop data models, ensure data quality, and create datasets for experimentation.
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