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Design and build scalable ETL/ELT pipelines and real-time dashboards for industrial digitalization in oil & gas, petrochemicals, utilities, and manufacturing using Hadoop/Cloudera, PySpark, and BI tools.
Senior Solutions Engineer partners with SI firms to architect and demo Snowflake-based data pipelines and solutions, leveraging PySpark, SQL, and cloud tooling to enable joint customer engagements.
Builds and deploys ML models to optimize marketing spend and customer engagement using Python, PySpark, and SQL.
Lead the architecture and strategy of JLL’s enterprise data platform, consolidating global systems into a unified, scalable data layer to power AI-driven insights and analytics for commercial real estate.
Build and maintain scalable data models in Databricks and PySpark to turn raw logistics data into reliable analytics for Mexico and LATAM, ensuring quality, governance, and reusability.
Senior Data Engineer builds scalable pipelines and data infrastructure using PySpark, Python, SQL, Azure, and Databricks to turn raw data into insights for clients.
Build and maintain scalable data pipelines and lakehouse architectures to collect, process, and govern audio and vehicle telemetry for ML training and in-cabin personalization in automotive infotainment systems.
Build, migrate, and optimize data pipelines and ETL/ELT processes between SQL Server and Databricks, using T-SQL, Spark SQL, and PySpark to modernize legacy systems.
Build and maintain large-scale data pipelines and ETL components in Java/Scala, using Spark for batch/streaming processing to support enterprise clients in media, healthcare, and tech.
Design and build scalable cloud data pipelines using Python, PySpark, and AWS to deliver reliable data across teams.
Designs and builds ETL pipelines using PySpark and Azure Synapse Analytics to integrate and deliver clean analytical data for downstream teams.
Designs and maintains ETL pipelines using Python (PySpark) and Azure Synapse Analytics to feed data for analytics and decision-making.
Designs and maintains ETL pipelines using PySpark in Azure Synapse, builds star-schema data warehouses, and ensures data quality from APIs, SQL, and CSV sources.
Build and maintain ETL pipelines using PySpark and Azure Synapse Analytics to move and transform data for accurate reporting and analytics.
Builds and maintains ETL pipelines using PySpark and Azure Synapse Analytics to ensure reliable data availability for analytics and reporting.
Designs and builds ETL pipelines in Azure Synapse using PySpark to move and transform data for analytics and reporting.
Designs and builds ETL pipelines with Python (PySpark) and Azure Synapse Analytics to move and transform data for analytics and reporting.
Designs and maintains PySpark-based ETL pipelines on Azure Synapse Analytics for consultancy clients, ensuring scalable data flows and data quality.
Design and maintain scalable ETL/ELT pipelines in Python (PySpark) and Snowflake, optimizing data warehouses and ingesting data from REST APIs and cloud storage.
Build and optimize cloud data pipelines using Python, PySpark, Spark SQL, and Kafka on GCP for global clients.
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