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Description PLEX Soluitons, A Part of Markon is looking for a motivated Application Developer. The Developer will collaborate directly with mission stakeholders, data scientists, and analysts to capture requirements…
Quest Software seeks an AI Software Engineer to advance AI-first development practices for a cloud-native SaaS product on Azure. This role involves contributing to the codebase using C#/.NET, Python, and Azure/AWS technologies, while integrating AI coding agents to improve development speed and quality.
Position Description We are seeking a Generative AI Engineer to own the hands-on technical delivery of production GenAI systems - from architecture and implementation through deployment, operations, and continuous…
The Senior Data Engineer will build and maintain a centralized data warehouse using Microsoft Fabric, PySpark, and SQL to support enterprise-wide analytics. The role involves designing scalable data ingestion pipelines, implementing medallion architecture, and applying AI-powered engineering practices.
Own the end-to-end ML lifecycle on Azure and Databricks—orchestrating pipelines from ingest through deploy and monitor—while collaborating with applied scientists to keep models reliable in production.
Medior Data Engineer building a central Azure-based data platform (Databricks, Delta Lake, Power BI) for CCMO, a Dutch government medical-research oversight body. Day-to-day work involves building and maintaining data pipelines with Python, SQL, and PySpark across technologies like Microsoft Fabric, Azure Data Factory, and Azure Synapse.
Build and evolve a cloud-based data platform for a financial client's Transaction Banking team in Amsterdam, designing scalable data pipelines and ETL/ELT processes using Azure Databricks, PySpark, Python, and SQL.
Data Engineer designing and operating data pipelines, connecting sources to data lakes, and migrating ETL processes to DL 2.0 using Kafka, SQL, Python, PySpark, and AWS.
Data Engineer at Infosys Consulting building and maintaining data pipelines and scalable solutions on Azure, collaborating with AI consultants and cross-functional teams in the Advanced Analytics practice.
Lead/Senior Data Engineer designing and managing enterprise-scale data platforms across Azure and AWS, building ETL/ELT pipelines, lakehouse architectures, and Snowflake data warehouses using Databricks, Delta Lake, PySpark, and SQL.
GCP Data Engineer at TCS building and maintaining GCP-based big data pipelines (batch and realtime) using BigQuery, Airflow, Dataflow, DataProc, and Python/PySpark across India.
AWS Data Engineer building and maintaining data pipelines using AWS, Databricks, PySpark, Airflow, and Kafka, with SQL and shell scripting.
Data Engineer (Azure Databricks Developer) with 7+ years experience designing and maintaining scalable data pipelines using Azure Databricks, developing ETL/ELT processes, building Spark-based applications, and ensuring data security and governance.
Design and develop scalable ETL data pipelines using Azure Databricks, Data Factory, and Data Lake, writing SQL/Python/PySpark code for data processing and transformation.
Azure Data Engineer building and supporting data pipelines, ETL processes, and large SQL data marts using Azure Data Factory, Databricks, Synapse, and Python.
Design, build, and optimize scalable data pipelines and cloud data platforms on AWS using Python, PySpark, and services like Glue, EMR, S3, Redshift, and Athena.
Senior Data Engineer on a remote contract within Canada, building and maintaining scalable data pipelines, ETL/ELT workflows, data models, and Power BI dashboards for the Government of Alberta's Digital Design and Delivery division using Python, SQL, PySpark, and cloud platforms (Azure, Databricks, Microsoft Fabric).
Design, build and deploy scalable data solutions on a mature Databricks lakehouse platform for a Queensland utilities organisation, using SQL, Python, and PySpark.
Lead Data Engineer designing and building scalable real-time and batch data platforms for supply chain workflows using Python, SQL, PySpark, and container orchestration tools.
Palantir Foundry Data Engineer building scalable data pipelines, Ontology models, Workshop apps, and Quiver dashboards using Python, PySpark, and SQL.
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