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Lead data engineering efforts to capture, govern, and analyze medical data, partnering with IT and medical teams to enable AI-driven insights for AstraZeneca.
Build and maintain scalable data pipelines using Spark, Hadoop, Scala, and Elasticsearch to detect financial crime and ensure compliance.
Build and maintain scalable data pipelines and lakehouse architectures on Databricks, using SQL, Python, and dbt to deliver clean, governed data for clients in finance, government, and healthcare.
At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently looking for a dedicated Senior AI Data Engineer to join one of our clients' teams . If you're…
Design and maintain Azure Data Factory pipelines for ETL/ELT, orchestrating data flows between Azure SQL/Synapse and other sources while optimizing performance and collaborating with stakeholders.
Build and optimize scalable data pipelines, ETL processes, and cloud-based data architectures using Python/Java/Scala, Spark, Kafka, and cloud platforms (AWS/Azure) to support large-scale analytics and client projects.
Lead a remote team building scalable data pipelines with Kafka, Spark, and Hadoop, mentoring engineers and optimizing cloud data platforms like BigQuery.
Senior Data Engineer builds and maintains cloud-based data platforms using Databricks, SQL, Python, and cloud platforms like Azure, AWS, or GCP.
Maintains and scales Linux/Windows servers, databases (PostgreSQL, MSSQL, etc.), and real-time data pipelines (Kafka, Flink) while building data warehouses and IoT integrations.
Build and maintain scalable data pipelines and lakehouse platforms using Databricks, Spark, Delta Lake, and Python to support anti-financial-crime analytics and reporting for global PwC clients.
Designs and optimizes SAP HANA data models, builds ETL pipelines, and collaborates on data architecture for a semiconductor manufacturer.
Designs and builds scalable backend systems and data pipelines using Java/Scala/Python, Spark, Flink, and Kafka for Akamai’s cloud platform.
Build and maintain financial performance frameworks, automate KPI dashboards, and lead budgeting/forecasting for a global consulting firm’s internal analytics team in Warsaw.
Build and maintain scalable data pipelines and Lakehouse architectures using Databricks, PySpark, and Delta Lake to deliver analytics-ready datasets for GenAI and business use cases.
Senior Data Engineer builds cloud-native, petabyte-scale data pipelines and analytics for P&G’s global media and advertising systems using Python, Spark, and Google Cloud.
Lead a team of data engineers to build and migrate data pipelines to Google Cloud, integrate services, and create dashboards for reporting and insights.
Design and build scalable data platforms on Azure/AWS using SQL, Python, and big data tech to support global decision-making.
Design and build scalable Java microservices for ING’s cloud-based data ingestion layer, ensuring reliable data flows across the bank.
Builds and optimizes SQL Server-based data warehouses and ETL pipelines with SSIS, then models tabular datasets in Power BI/SSAS for business reporting.
Designs and builds scalable Azure data pipelines and lakehouse solutions using Databricks, integrating diverse data sources for analytics and AI workloads.
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