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Ingénieur Analytique / Analytics Engineer
Builds and maintains the data transformation layer and dimensional models to power BI reports and analytics for technical and non-technical users using SQL, dbt, and cloud warehouses like Snowflake or BigQuery.
Senior Data Engineer (Azure / Databricks)
Location: Remote – Alberta, Canada Employment Type: 1-Year T4A Contract (Potential for Extension) About the Opportunity We are hiring on behalf of our client for a Senior Data Engineer to join their team on a 12-month…
AWS Data Engineer
Inclusion without Exception Tata Consultancy Services (TCS) is an equal opportunity employer, and embraces diversity in race, nationality, ethnicity, gender, age, physical ability, neurodiversity, and sexual…
Junior Data Engineer
Build and maintain ETL pipelines, SQL transformations, and dashboards for marketing analytics at a media agency, using BigQuery, Datorama, and Tableau.
Senior Backend Java Developer
Job Title: Senior Backend Java Developer Location: Mississauga, ON 6 months contract to hire 3 days onsite per week Required Skills & Experience 8+ years of experience in application development or systems…
Principal Software Development Engineer in Test (SDET)
Leads Playwright-based UI/Backend automation and AI-driven quality engineering for fintech systems, focusing on data validation, CI/CD integration, and test framework modernization.
Exploitation Specialist - Data Scientist Job#470
Data scientist at a government agency building analytics tools to process intelligence data, track mission objects, and support crisis response using statistical and ETL methods.
Senior Power BI Developer - Onsite Toledo, OH
Build interactive Power BI dashboards and reports for a healthcare-focused real-estate company, using DAX, SQL, and Microsoft Fabric to turn property and healthcare data into actionable insights.
Senior Engineer, Data Engineering
Build and maintain cloud-based data pipelines and reporting environments for government clients, modeling data to extract predictive insights using tools like Microsoft Fabric, Spark, and Python.
Lead Data Engineer - Experimentation Platform - 1633
Lead a data engineering team to design and build scalable experimentation platforms, batch/streaming pipelines, and analytics-ready datasets using Python, Spark, Databricks, Snowflake, and Kafka.
Senior Fullstack Product Engineer (React, Go, GraphQL) - 1631
Builds a knowledge-graph application using React, Go, and GraphQL, integrating distributed systems and AI-assisted tools for media content and metadata.
Senior Databricks Data Engineer - 1628
Builds scalable data pipelines and intelligent APIs on Databricks and Azure, focusing on ETL, AI/ML, and DevOps for data products.
Senior Snowflake Data Engineer - 1615
Build and optimize Snowflake-native data pipelines using Snowpark, Python, and SQL to migrate and scale enterprise data workflows in a hybrid role.
Senior Software Engineer (.NET)
Build and maintain full-stack .NET web apps and services for enterprise clients, troubleshooting issues and collaborating with product teams.
AWS Data Engineer
Design and build scalable AWS-based data pipelines using Python, Spark, and cloud-native services to power analytics and reporting.
Quality Analyst
QA Engineer validating data accuracy and integrity across modern data platforms, pipelines, and reporting tools using SQL and ETL/ELT testing in an Agile environment.
Sr. Data Engineer
Senior Data Engineer builds and maintains scalable data pipelines, real-time streaming systems (Kafka), and REST APIs using Java, Spark, and cloud platforms to support analytics and ML workloads.
AWS Data Engineer
Build and optimize scalable data pipelines using Python, Spark, and AWS services like Glue, EMR, and S3 to power a modern data platform for financial indices.
QA
QA engineer validating data platforms and pipelines, writing SQL tests, ensuring data integrity, and collaborating with engineering teams to maintain high-quality data solutions.
Senior Big Data Engineer – Especialista en Databricks
Senior Big Data Engineer designs and builds Databricks Lakehouse architectures, optimizes ETL/ELT pipelines, and sets data engineering standards for cloud-based analytics solutions.