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Cloud Data Engineer – Scale Data Lakes & ETL Pipelines
Designs and builds scalable cloud data lakes and ETL/ELT pipelines in Azure or AWS to support analytics and reporting across teams.
Senior Data Engineer: Databricks & Azure Pipelines
Designs and builds scalable data pipelines on Databricks and Azure, using Python/PySpark and Azure Data Factory to integrate and process large datasets.
Data Engineer
Designs and builds scalable Azure-based data pipelines and warehouses using Databricks, PySpark, and SQL for a supply-chain-focused product team.
Data Architect
Designs and implements scalable, secure cloud data architectures across GCP, AWS, and Azure to support analytics, AI/ML, and real-time systems for a cloud-first enterprise.
Data Engineer — Remote/Hybrid, AI‑Driven Data Pipelines
Design and maintain scalable ELT/ETL pipelines using Airflow, Snowflake, and Databricks to feed AI-driven analytics and models.
Lead Data Engineer: Scalable Pipelines & Platforms
Designs and builds scalable ETL/ELT pipelines and data platforms using Hadoop, Spark, and Splunk, integrating HR data sources and collaborating with BI and analytics teams.
Cloud Data Engineer — Data Lake & ETL Pipelines
Design and scale cloud data platforms, build ETL/ELT pipelines, and model data for analytics in Azure or AWS.
Cloud Data Engineer — Scale Data Lakes & Pipelines
Designs and builds scalable cloud data pipelines and lakes using Azure/AWS, ETL/ELT, SQL, Python, and Spark for analytics.
AWS Cloud Data Engineer — ETL, PySpark & Data Pipelines
Designs and maintains AWS-based data platforms, builds scalable ETL/ELT pipelines using PySpark, and manages cloud infrastructure for data processing.
Data Engineer | Cloud Pipelines & Databricks
Designs and maintains cloud-based ETL/ELT pipelines using Databricks, Spark, and Python to feed marketing analytics and reporting for a global FMCG brand.
Cloud Data Engineer: Data Lake & Pipelines Pro
Design and implement scalable data platforms and ETL/ELT pipelines using cloud services (Azure or AWS) while collaborating with analytics and data science teams.
Data Engineer
Designs and maintains scalable data models and ETL pipelines for a real-estate platform, using Snowflake, Python, and SQL to integrate property data and power analytics.
Data Scientist
Build and optimize GCP-based data pipelines and ML models, then visualize insights in Looker Studio to drive TELUS’s operational and customer-experience improvements.
Data Engineer
Build and optimize SQL-based data pipelines and analytics in a Microsoft-centric stack to power expense and invoice management for Rydoo’s SaaS platform.
Remote Senior Data Engineer — AWS Data Pipelines & ETL
Senior Data Engineer builds and maintains AWS-based ETL pipelines, transforming raw data into clean, analytics-ready datasets for product, ML, and analytics teams.
Data Engineer: Scale Data Pipelines for Global Campaigns
Build and optimize ETL/ELT pipelines for ad-tech data, integrating ad platforms and ensuring PII privacy while collaborating with product and marketing teams.
Data Engineer for AI/ML Data Pipelines (Hybrid)
Designs and optimizes data models, builds data warehouses, and implements ETL/ELT pipelines to support AI/ML initiatives and data-driven decisions using Python and SQL.
Senior Data Engineer — Data Pipelines & Compliance
Senior Data Engineer builds and maintains scalable ETL/ELT pipelines and data workflows for a fintech client, ensuring compliance and automation using Snowflake, DBT, and Airflow.
Senior Data Engineer – Snowflake & Finance Data Pipelines
Build global finance data pipelines and ETL/ELT workflows on Snowflake for a biotech client, blending data sources and collaborating with finance teams and engineers.
Data Engineer: ETL/ELT & Cloud Data Pipelines
Designs and optimizes ETL/ELT pipelines in Oracle and GCP, building data flows with Airflow to feed reporting and analytics teams.