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Build and maintain web applications using Ruby on Rails and microservices, collaborating with offshore teams to deliver scalable solutions for North American clients.
Data Engineer designing and maintaining scalable data pipelines, data warehouses, and cloud-based data platforms using SQL, Oracle PL/SQL, Python, and AWS services to support analytics and business decision-making.
The Ministry of Finance is responsible for the Government Procurement (GP) policies, which govern how government agencies conduct their procurement. With evolving needs of our public officers and changing procurement…
Lead a team to design, build, and scale a modern data platform for analytics and AI using cloud tools like BigQuery and Airflow, while ensuring security, governance, and team productivity.
The Senior Data Engineer will lead a team in developing scalable data pipelines, managing data warehouses, and building data APIs using cloud platforms like GCP, AWS, or Azure. The role involves technical leadership, stakeholder management, and implementing data governance and transformation logic for AI-driven projects.
Builds and maintains scalable data pipelines for a gambling company’s cloud-based data warehouse, ensuring regulatory compliance and business reporting while mentoring junior engineers.
Builds and maintains data pipelines, reports, and infrastructure to support business intelligence needs, focusing on Amazon Redshift and SQL for data transformation, quality checks, and stakeholder collaboration.
LT Data Integration Engineer En Ready Buscamos un(a) LT Data Integration Engineer con experiencia en el diseño, desarrollo y operación de soluciones de integración de datos empresariales utilizando Informatica…
Senior Analytics Engineer transforming raw event and product data into clean, scalable data models using SQL, Python, dbt, Snowflake, and Redshift to support Canva's User Voice team in making data-informed product decisions.
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,…
12 month contract + likely extensions | Hybrid | Canberra, Melbourne, Sydney The Role We're hiring a Senior Data Engineer to operate and optimize our enterprise data warehouse and cloud analytics platform.…
Senior Data QA Analyst at WB Games Montreal verifying, analyzing, and visualizing game telemetry data using Looker, SQL (Redshift, Databricks), and Excel to produce dashboards and reports for QA and production teams on AAA video games.
Job Description About the Role: The Data Engineer will work on enterprise-wide data provisioning, spanning multiple data governance domains and data assets. Responsibilities include ensuring secure data sharing,…
Role Summary We are seeking engineers who combine strong software engineering fundamentals with modern data engineering expertise. Candidates should be capable of designing, building, deploying and operating…
Data Analyst on a 12-month hybrid contract automating reporting, building Alteryx workflows and Power BI dashboards, querying data with SQL, and supporting a migration to Azure Databricks.
Transforms raw utility data (electricity, gas, water, etc.) into actionable insights for real estate emissions tracking, designing BigQuery models in Dataform to support ESG/CSRD compliance. Focuses on data quality, semantic consistency, and cross-team collaboration to ensure accurate, auditable energy metrics for clients.
Builds and maintains scalable ETL/ELT pipelines to transform raw data into actionable insights for analytics and business teams, focusing on SQL optimization, data quality, and cloud-based data infrastructure.
Leads AI data engineering and solutioning for Singapore’s Home Team, designing scalable data pipelines, ensuring governance, and optimizing AI model inputs while driving innovation in cloud/data technologies.
Data Engineer designing, building and maintaining scalable data pipelines, data warehouses and cloud-based data platforms on AWS using SQL, Oracle PL/SQL and Python to support analytics and business decision-making.
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