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Build and maintain data models, pipelines, and dashboards to support analytics and reporting for DoorDash's logistics platform in São Paulo, using SQL, Python, and Snowflake.
Build and maintain data models, pipelines, and dashboards to support analytics and reporting for DoorDash's logistics platform, using SQL, Python, and Snowflake.
Builds and maintains data models, pipelines, and dashboards to support analytics and reporting for DoorDash’s logistics platform, using SQL, Python, and Snowflake.
Senior Data Engineer at a fintech lending company, focused on designing and maintaining Snowflake data warehouses, building ELT pipelines, and partnering with Finance on SQL-based data models and reporting solutions.
Junior Data Engineer at Dalhousie University building and testing ETL/ELT data pipelines for the enterprise data warehouse using Microsoft Fabric, Python, SQL, and Spark.
Data Engineer writing production Python pipelines, libraries, and APIs for Bain's Coro B2B analytics/GTM software suite, deploying to cloud platforms with CI/CD and IaC.
Leads the design and implementation of scalable data platforms using Databricks for federal agencies, focusing on analytics, governance, and security while mentoring engineering teams.
Lead a team of 8+ data analysts at Ukraine's leading ride-hailing platform, driving product analytics, A/B testing, and metric frameworks (LTV, retention, churn). Manage team priorities, SLA, and mentorship while working with Snowflake, dbt, and AirFlow to influence product decisions.
Design, build and maintain scalable ETL/ELT pipelines and GCP data infrastructure (BigQuery, Cloud Storage, Dataflow) to power AI applications, with a key focus on enabling Retrieval-Augmented Generation (RAG) systems.
Design and implement ETL/ELT workflows, write complex SQL queries, and manage data services on Linux and cloud platforms using Python, Shell, and Hadoop ecosystem tools.
Data Engineer at RBC designing and optimizing a cloud data Lakehouse, building ELT pipelines with Python, SQL, Snowflake, dbt, Airflow, and Spark on AWS to support BI, ML, and AI initiatives.
Design and build scalable data pipelines ingesting from APIs, databases, and files; perform ETL/ELT processes and design data models for data warehouses and analytical platforms.
Junior ETL Data Engineer on a 10-month contract designing ETL/ELT workflows, maintaining Python/Shell automation scripts, and optimizing SQL in a big data warehouse environment using Hadoop ecosystem tools on Linux and cloud platforms.
Hands-on mid-level data engineer designing and optimizing AWS-based data pipelines, ETL/ELT processes, and data lakes, with presales consulting duties collaborating across Sales, Architecture, and Delivery teams.
Data Engineer & AI Specialist at Infineon Technologies in Malaysia, building scalable data pipelines, deploying ML/AI models, and developing Power BI dashboards to drive quality improvement and manufacturing excellence.
This role is for a mid-level Data Engineer to design and optimize cloud-based data pipelines and warehouses on AWS while acting as a consultant to support presales and customer delivery. The position requires a blend of hands-on technical expertise in SQL, Python, and AWS services with strong communication skills to translate business challenges into scalable technical solutions.
Data Engineer designing and optimizing cloud data Lakehouse architecture, building scalable ELT pipelines with Python, SQL, Snowflake, and AWS, while implementing dbt transformations, data governance, and CI/CD for data workflows.
Data Engineer building and maintaining data pipelines, ETL/ELT processes, data lakes, and warehouses using Python/Java/Scala, SQL, Spark, and cloud platforms (AWS/Azure/GCP) to support analytics and reporting for a diversified Malaysian conglomerate.
The Data Engineer will design, build, and maintain scalable data pipelines and infrastructure to support data-driven decision-making. The role involves working with ETL/ELT processes, cloud platforms, and data pipeline tools like Apache Airflow and Spark.
This Data Engineer role involves designing and optimizing scalable ETL/ELT pipelines to support large-scale AI and machine learning initiatives within a financial services organization. The engineer will work closely with cross-functional teams to ensure high-quality data availability, governance, and infrastructure performance.
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