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Designs and builds data pipelines and ETL processes, collaborates with teams to gather requirements, and ensures data solutions meet business needs.
Senior Data Engineer joining a 10-person BI team at HiPay to design, build, and optimize data pipelines and data-viz components on GCP (BigQuery, Cloud Run) using Python, SQL, Airflow, dbt, and Looker.
Builds and maintains data pipelines, warehouses, and lakes; designs data architectures; ensures data quality and reliability for business use cases using Python, SQL, and cloud platforms.
Design, develop, and optimize AWS data pipelines using services like Glue, S3, Redshift, Athena, EMR, and Kinesis, with SQL and PySpark, to deliver reliable datasets to analysts and scientists.
Design and optimize data pipelines on the AWS ecosystem, integrating varied data sources and applying AWS services to ensure reliable, secure data.
Build and maintain global data pipelines from raw sources to curated layers, ensuring quality and performance for analytics and data science teams.
Data Engineer modernizing data pipelines and structuring MDM on a Snowflake/DBT stack with Python and SQL for an independent energy company in Paris.
Data Engineer building and governing a data platform with scalable pipelines, data ingestion from various sources, and medallion-architecture modeling (Bronze/Silver/Gold) in a cross-functional squad.
Build and modernize data pipelines for an energy company, migrating batch to webhook-driven architectures and laying groundwork for MDM and AI-driven analytics.
Build and evolve a modern, scalable data platform focusing on streaming pipelines, Data Lake, and DWH environments using Spark, Kafka, Databricks, and Docker in a collaborative, DevOps-minded role.
Data Engineer role on a modern AWS cloud data platform, covering ingestion to exploitation via reporting, analytics, and APIs, including Power BI dashboards, data hub modeling, and business workshops.
Data Engineer building on-premise, air-gapped data pipelines from scratch for structured data, images, video, and sensor/time-series data using Python and SQL on self-managed bare-metal infrastructure.
Designs data pipelines and dashboards to transform and analyze client data in Data Lake/Warehouse environments using SQL, Python, and Power BI.
GCP Data Engineer designing and optimizing data pipelines on Google Cloud Platform, delivering reliable datasets for analysts and scientists with a focus on security, cost optimization, and data governance in a hybrid setup.
A Junior Data Engineer designing, developing, and operating data pipelines for reporting and business use cases using dbt and Snowflake, collaborating with international Data and IT teams.
Designs and builds data pipelines (ETL/ELT) while setting up data storage/treatment solutions (warehouses, lakes) to ensure long-term data infrastructure reliability for analytics and AI teams.
DevOps engineer specializing in IVVQ (Integration, Validation, and Qualification) for satellite navigation systems. Daily tasks include containerized software deployment, test automation, and validation of critical space systems using Docker, Python, and Agile methodologies.
Build and maintain automated test suites and CI/CD pipelines for a GMAO software suite, ensuring quality and reliability while collaborating with agile teams.
Build and maintain AWS-based CI/CD pipelines using Groovy and CloudFormation to automate deployments for a government tech platform.
Designs and maintains robust Azure cloud architectures, automates deployments with IaC, and builds APIs and orchestration for a SaaS suite.
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