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Data Engineer building scalable data pipelines, ETL/ELT processes, and cloud-based data architectures (Data Warehouse, Data Lake, Lakehouse) on AWS using SQL, Python/Scala, Spark, Airflow/dbt.
Staff Data Engineer designing and building data pipelines and platform infrastructure using Spark, Kafka, Iceberg, and Airflow, with focus on data quality, governance, and AI-assisted development workflows.
Design and optimize scalable ETL pipelines and data architectures using Microsoft Fabric and Azure to enable analytics and reporting across the organization.
Senior Data Engineer maintaining and operating Manulife's Enterprise Data Lake on Azure, using Hadoop, Databricks, Spark, and Python to support data integration, incident response, and platform stability for insurance data domains.
Data Engineer building and maintaining scalable ETL pipelines and data solutions using Microsoft Azure services such as Data Factory, Synapse, Databricks, and Fabric, with SQL, Python, and Spark.
Build and own AI-powered SRE platforms that other teams depend on, driving reliability, scalability, and adoption through hands-on engineering and relentless iteration.
Data Engineer focused on data governance and security for a financial institution, optimizing ETL/ELT pipelines in Python, managing Cloud/Data Lake ecosystems, and enforcing data access controls and traceability.
Backend developer bridging backend and data engineering on a greenfield content platform for a media client, using Java 21, Python, Go, and AWS services to build data pipelines and APIs.
Design, build, and maintain data pipelines, data models, and analytics-ready datasets using Microsoft Fabric, Azure data services, and medallion architecture patterns for a government education institute.
Data Engineer building and maintaining data pipelines and analytics-ready datasets using Microsoft Fabric, Azure data services, SQL, and Python within a government education institution.
Designs and builds modern data ingestion pipelines on Azure/Snowflake, migrating legacy ETL processes to scalable, reusable components for real-time and batch data processing.
Data Engineer building ETL/ELT pipelines, data warehouses, data lakes, and backend APIs for a consulting firm serving banking and financial services clients.
Oversees data ingestion pipelines for analytics and AI, designing and maintaining frameworks to extract, validate, and integrate data from multiple sources into a data lake, ensuring performance, automation, and SLA compliance.
Senior Data Engineer designing and evolving ETL/ELT processes, implementing data ingestion/transformations in Data Lake/Warehouse/Lakehouse, ensuring data quality, and acting as technical lead. Core technologies: Databricks, Python, SQL, Spark.
Senior Data Engineer defining and evolving ETL/ELT processes, designing data ingestion and transforming data in Data Lake/Warehouse/Lakehouse environments using Databricks and cloud platforms (Azure/AWS/GCP).
Data Engineer role focused on PostgreSQL and analytics, responsible for designing and maintaining data pipelines, optimizing database performance, and supporting analytics teams. Core technologies include PostgreSQL, SQL, Python, and Airflow for data processing and transformation.
Data Platform SRE on Apple's AI & Data Platforms team, responsible for developing and operating large-scale big data platforms using Apache Spark, Apache Iceberg, and cloud services (AWS/GCP) to support analytics, reporting, and AI/ML applications.
Builds real-time data pipelines and a company-wide data lake for an aviation logistics startup, ensuring data quality and scalability in a regulated industry using Airflow, Python, and AWS.
Data Engineer building cloud data pipelines and analytics solutions for Investment Management, Trading, and Middle Office using Snowflake and modern data lake technologies.
Leads a Dublin-based data engineering squad for Fidelity’s global Asset Management Platform, designing Snowflake/data warehouse pipelines, APIs, and automation while standardizing tech practices, driving cloud adoption, and embedding compliance. Focuses on team growth, cost efficiency, and cross-functional collaboration with Architecture and business units.
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