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Build and maintain scalable data pipelines on Databricks and Azure SQL Server using PySpark and ELT, enabling standardized reporting and data management for a veterinary care group.
This role involves designing and building scalable, automated data pipelines within a modern Azure environment to support data-driven decision-making. You will work in an agile team using tools like Azure Data Factory, Databricks, and Synapse to manage the full data lifecycle.
Solutions Architect owning end-to-end Epicor ERP architecture, governance, and roadmap while designing Power Platform solutions, Python automation, and Azure/SharePoint integrations to support finance, supply chain, operations, and manufacturing functions.
Builds and maintains a secure, scalable data platform for healthcare analytics using Databricks, Spark, and cloud services to support AI, ML, and self-service analytics.
Senior Data Engineer building BI warehouses, data lakes, and ETL pipelines using big data, streaming, and data visualisation tools on both on-premise and cloud platforms.
This Data Engineer role involves building and maintaining batch and streaming pipelines to ingest and standardize banking data for AI platforms. The position focuses on data quality, lineage, and security using the Microsoft Azure stack, Apache tools, and vector-store management.
The BAU Lead - Data Engineering will manage data operations, production support, and platform stability in a cloud-first environment. The role involves leading a team to build and maintain data pipelines using AWS, Snowflake, Python, and Spark.
Designs, builds, and maintains scalable data pipelines and ETL/ELT workflows on AWS using Python, PySpark, AWS Glue, and Lambda. Manages cloud infrastructure with Terraform and ensures CI/CD pipelines, monitoring, and security compliance.
Designs and maintains an AWS Data Lake and Lakehouse platform, focusing on data ingestion, transformation, storage, security, and governance to ensure scalable, reliable, and cost-efficient data pipelines.
Lead day-to-day BAU data engineering operations and production support for a Singapore-based insurance company, focusing on AWS and Snowflake data platforms, pipeline development, and data migration.
Design, implement, and manage scalable enterprise data platforms (real-time and batch) for a major industrial/automation multinational's regional Data/AI HQ in Singapore, owning the end-to-end data lifecycle.
The Senior Data Engineer will design and maintain scalable data pipelines, ETL processes, and data services across hybrid environments. The role involves collaborating with stakeholders to support analytics and MDM initiatives using technologies like Spark, Kafka, and cloud data platforms.
Build and secure AWS-based data lakehouse pipelines for a government client, using Glue, Redshift, Lambda, and Lake Formation.
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Product Manager Data placed at a large client in Paris, managing a Data Lake (Snowflake, BI, Data Viz) that centralizes consumer, marketing and sales data. The role involves backlog management, Agile ceremonies, and stakeholder collaboration in an English-speaking environment.
Senior Data Engineer designs and builds ETL/ELT pipelines, data lakes, and reporting tools using Python, SQL, Spark, and AWS services for a vehicle lifecycle solutions provider.
Senior Data Engineer builds and optimizes ETL/ELT pipelines, data lakes, and reporting tools using Python, SQL, Spark, and AWS services for a vehicle lifecycle solutions provider.
Senior Data Engineer builds and optimizes scalable data pipelines using PySpark, Databricks, and Azure Cloud for a Big Four accounting firm’s AI-driven tax services platform.
Senior Data Engineer builds and optimizes PySpark applications on Databricks for a Big Four firm, using Azure Cloud, Delta tables, and microservices to process and transform enterprise data.
Senior/Lead Data Engineer building and optimizing Spark/PySpark applications on Databricks for an Exadel client project, using Python, Delta Tables, and Azure Cloud in a collaborative, cross-functional team.
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