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Build and maintain scalable data pipelines and APIs for a cybersecurity ratings platform using Scala, Spark, and AWS.
Designs and builds scalable data pipelines, warehouses, and ETL/ELT workflows using Python, Java, Spark, and SQL to ensure clean, high-quality data for analytics and products.
Senior Data Engineer builds and optimizes scalable data pipelines and cloud-based warehouses (BigQuery) to power a global ecommerce delivery platform.
Builds and optimizes data pipelines and models in Snowflake and Databricks to automate manual processes and improve analytics for a fintech company.
Builds and maintains enterprise data warehouses and data lakes, designing ETL/ELT pipelines and backend integrations to ensure reliable data flow across systems.
Build and maintain scalable data pipelines and GenAI platforms on AWS using Spark, Iceberg, and Bedrock to power analytics, AI, and RAG systems.
Designs and deploys robust GCP data solutions (BigQuery, Dataflow, Cloud Storage) with security, monitoring, and automation using Terraform and Python.
Build and maintain an Analytics Factory for large clients, designing data pipelines, optimizing flows, and transforming raw data into dashboards using SQL, PowerBI, Scala, Spark, and Lakehouse architectures.
Build and maintain Snowflake-based data pipelines and AI platforms for clients, using Python, Spark, Airflow and Kubernetes to turn raw data into business insights.
Designs, deploys, and secures Google Cloud data pipelines (BigQuery, Dataflow, Cloud Storage) using Terraform and Python, while automating CI/CD and cloud operations for enterprise clients.
Data Engineer building PySpark pipelines and Dataiku workflows to ingest, transform, and expose financial data for a large client, using cloud-based data lakes and CI/CD.
Design and maintain scalable data pipelines using Python, PySpark, and Spark Streaming to process batch and real-time data for high-quality datasets.
Build and maintain scalable data pipelines and architectures to power AI-driven solutions like predictive maintenance and process optimization, collaborating closely with data scientists and engineers.
Build and maintain a distributed, real-time data pipeline using Kafka, Spark, and Flink to process massive data streams for intelligence production and operational support.
Senior Data Engineer builds and operates a Spark-based Lakehouse platform (Databricks, Delta Lake, Azure) using Scala/Spark pipelines and cloud infrastructure.
Build and deploy data pipelines using Apache Spark and Scala for clients in banking and insurance, following agile practices.
Build and optimize distributed Spark/Scala pipelines for large-scale data security and risk analysis, leveraging GenAI and agent systems in a production environment.
Build and maintain Spark/Scala data pipelines on GCP for large French financial clients, ensuring data quality and reliability while collaborating with cross-functional teams.
Build and maintain cloud-based data pipelines and infrastructure for clients, collaborating with data scientists and using Python, Spark, Scala, AWS, or GCP.
Build and optimize cloud data pipelines on GCP for enterprise clients, designing scalable architectures, auditing existing systems, and implementing data ingestion/transformation solutions using Python, Scala, and SQL.
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