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Lead AI Software Engineer directing AI coding agents to deliver production software for a Sydney HealthTech company, overseeing architecture, security and quality gates with Node.js, TypeScript and React.
Lead Product Manager building shared AI platforms, model gateways, and agents that enable AI-native delivery across Xero's technology organization.
The Site Reliability Engineer will maintain high availability and stability of application systems through monitoring, automation, and infrastructure optimization. The role involves managing cloud deployments, CI/CD pipelines, and ensuring compliance with data protection and security standards.
Lead Learning Experience Designer responsible for designing and building digital learning experiences, e-learning content, and performance-support solutions for a global volunteer community, using LMS platforms, multimedia authoring tools, and AI-powered technologies.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Growth Marketing Lead based in the United States. This is a hands-on growth leadership…
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.
Lead BI Engineer responsible for designing Power BI solutions, developing complex dashboards and reports, and working with SQL Server, SSIS, SSRS, and SSAS technologies. Provides technical guidance to developers and works with Medallion Architecture.
Lead Data Governance Engineer at Mahindra establishing enterprise-wide data governance frameworks—data quality, metadata/catalog, lineage, security, and compliance automation—using tools like Collibra/Alation/Purview on cloud data platforms.
Lead Databricks Data Engineer to own data engineering workstream of a large-scale predictive analytics programme, architecting and leading production-grade data pipelines on Databricks, integrating SAP and Oracle systems into a governed lakehouse, and leading a small engineering team.
Senior Data Engineer (Tech Lead) designing, building, and governing enterprise-scale cloud data platforms using Databricks, Snowflake, or Microsoft Fabric, with expertise in data architecture, integration, governance, and leading cross-functional teams.
Lead enterprise data platform and analytics initiatives with a focus on Azure Data Factory, Databricks, PySpark, and GenAI/Azure OpenAI solutions, while providing technical leadership and mentoring.
Lead Data Engineer overseeing enterprise-scale ETL and data modernization projects, architecting pipelines with Python, PySpark, Informatica, Databricks, Snowflake, ADF, and AWS Glue while mentoring a team of data engineers.
Power BI Lead responsible for designing reporting and analytics solutions using Power BI, developing ETL/data pipelines with SQL Server, SSIS, SSRS, and SSAS, and providing technical guidance to BI/Data Engineering developers.
Technical Lead driving the migration of Microsoft/Azure data platforms to Databricks, providing hands-on mentorship, architecture oversight, and pipeline development for the data engineering team.
Lead Data Engineer at IndusInd Bank in Mumbai, architecting and building a cloud-native Azure Databricks data platform with PySpark, leading a team of data engineers and analysts to deliver scalable lakehouse architectures and BI solutions.
Senior Data Engineer lead building complex ETL/ELT solutions on Azure Data Lake, Databricks, and ADF using SQL, PySpark/Scala, with Kafka-based real-time and batch ingestion at scale.
Tech Lead / SDE IV owning batch and real-time data pipelines for a programmatic advertising DSP, processing billions of bid-stream events daily with Kafka, Flink, StarRocks, and Python/Java/Scala, while also architecting backend microservices and mentoring engineers.
Lead Data Engineer designing and building scalable data pipelines and ETL/ELT architectures on cloud platforms using Apache Spark, SQL, and Python.
Technical Lead designing and building large-scale data pipelines on AWS and Databricks using Python, PySpark, Kafka, and Airflow, with 90% hands-on development and 10% mentoring.
Lead Data Engineer/Data Architect designing and implementing enterprise-scale cloud data platforms (Azure, AWS, or GCP), including data lakes, lakehouses, and warehouses using Python, SQL, and tools like Databricks, Snowflake, or Spark.
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