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Build and scale the data backbone for an AI-powered recruiting platform, designing PostgreSQL/Opensearch pipelines, ETL workflows, and cloud-native infrastructure to power search, analytics, and AI features.
Senior Data Engineer builds and maintains real-time, cloud-native data pipelines handling billions of daily events, modernizing legacy systems into scalable lakehouse architectures.
Designs and builds Azure Databricks-based data pipelines and lakehouse architectures, ensuring scalable, high-quality data for analytics and BI teams.
Designs and builds cloud data pipelines on Azure Databricks, integrating PySpark, Delta Lake, and Azure Data Factory to power analytics and BI for enterprise clients.
Senior Data Engineer builds and maintains analytics-ready data pipelines in Python and SQL, enabling data-driven decision-making for stakeholders.
Architect and build real-time data pipelines for programmatic advertising using Python, SQL, and data warehousing, integrating AI technologies to process millions of ad transactions daily.
Senior Data Engineer builds scalable Google Cloud data platforms using BigQuery, SQL, Python, and modern data architectures to enable data-driven decisions for global clients.
Builds and maintains data pipelines, warehouses, and analytics in Microsoft Fabric and SAS 9.4/Viya for a cloud-based data transformation program.
Own and optimize Azure-based data platforms, ETL pipelines, and reporting layers to deliver scalable data solutions and insights for HR tech.
Manage Azure-based data pipelines and Power BI reporting to deliver distributor performance insights and ensure data quality across reporting layers.
Builds and maintains data pipelines for internal apps and trading analytics in an energy-focused fintech company using SQL, Python, and Airflow.
Builds automated financial reconciliations and reporting by extracting, transforming, and loading data from ERP and finance systems using SQL and BI tools.
Build and maintain scalable data pipelines using PySpark, Hadoop, and Airflow in a DevOps environment, collaborating with analysts and engineers to deliver high-performance solutions.
Build and maintain scalable data pipelines, automate ingestion from Kafka, MQ, SFTP, and databases, and optimize cloud-based processing in GCP using BigQuery, Dataflow, and Airflow.
Build and maintain scalable Azure-based data pipelines and Databricks-powered analytics platforms for a Swedish energy utility, enabling data-driven decisions and AI solutions.
Design and build scalable data pipelines on Azure and Databricks, using Python, PySpark, and SQL, while implementing CI/CD in Azure DevOps.
Designs, builds, and scales cloud data pipelines and data lake platforms using ETL/ELT workflows, collaborating with analytics and data science teams.
Build and maintain scalable data pipelines and lakehouse platforms using Databricks, Spark, Delta Lake and Azure to support anti-financial-crime analytics and reporting for PwC’s global clients.
Build and maintain scalable data pipelines and Lakehouse models on Databricks, using PySpark, Delta Lake, and Medallion architecture to deliver analytics-ready datasets for enterprise clients.
Data Engineer migrates and maps GIS data into a proprietary model using Python and ESRI tools.
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