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Designs and manages end-to-end data pipelines in on-prem and cloud environments, builds a new Data Platform, and creates data marts and dashboards for business analytics.
Build and optimize data pipelines, warehouses, and analytics platforms for an insurtech company using Python, Spark, Kafka, and AWS.
Analyze hospitality and venue data to build dashboards, track KPIs, and generate insights using SQL, BI tools, and Python.
Builds automated tests for data pipelines and APIs in BigQuery/Redshift, partners with product and engineering to validate features, and coaches teams on testing best practices.
Build and maintain a modern data platform (Snowflake, dbt, Dagster) that ingests, transforms, and serves data to product and analytics teams across the company.
Designs and runs automated tests for cloud-native data pipelines (BigQuery, Airflow, Cloud Run) to ensure data quality and reliability in ETL workflows.
Senior QA engineer builds and maintains automated tests for cloud-native ETL pipelines, ensuring data quality and reliability across BigQuery, Airflow, and GCP systems.
Lead a team to build and govern scalable data platforms for JLL’s Capital Markets unit, integrating real-estate data for analytics, AI/ML readiness, and automated insights.
Lead a data engineering squad in Madrid, designing and optimizing AWS-based data pipelines (ETL/ELT) using S3, Redshift, and Data Lake to ensure high-quality, performant data flows.
Lead a remote team of data engineers to build and scale Airalo’s cloud data platform (GCP/BigQuery) and pipelines, turning raw travel data into actionable insights for product and growth decisions.
Senior Manager Data Engineer designs and maintains scalable data pipelines and warehouses for a global healthcare company, integrating SAP, Salesforce, and cloud platforms while ensuring data quality and governance.
Build and optimize Aircall’s real-time analytics platform using Scala, Python, and AWS tools to deliver low-latency insights for 22,000+ customers.
Build and optimize large-scale data pipelines using Scala/Spark and AWS to power analytics, ML, and reporting for a digital bank, ensuring reliable data flows for business decisions.
Senior Manager Data Engineer builds and maintains scalable data pipelines and warehouses for a global healthcare company, integrating SAP, Salesforce, and cloud platforms.
Build and maintain scalable data pipelines and analytics infrastructure in GCP, using Python, Redshift, and Power BI to turn business needs into data-driven solutions.
Build and maintain scalable data pipelines and warehouses using Airflow, Snowflake, Kafka, and Python to power real-time analytics and integrations for a gaming-focused tech stack.
Senior Data Engineer builds and optimizes cloud-based data pipelines using PySpark, SQL, and cloud services (Azure, AWS, GCP) to deliver scalable analytics solutions for enterprise clients.
Design and build scalable data pipelines using Spark and cloud platforms to power analytics and ML for a leading digital bank.
Build and optimize large-scale data pipelines using PySpark/Scala and AWS services to power analytics, ML, and reporting for a leading digital bank.
Build and maintain cloud data infrastructure, orchestrate ETL/ELT pipelines, and support AI initiatives for a creative transformation agency.
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