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Senior Data Engineer builds end-to-end data pipelines, modern data stacks, and analytics-ready warehouses for clients using SQL, Python, Airflow, dbt, and cloud DWHs like BigQuery or Snowflake.
Build and optimize modern data pipelines and platforms using Snowflake and Databricks, then activate customer data in CRM/CDP systems like Salesforce and Adobe for marketing use cases.
Senior Data Engineer builds Python-based data pipelines, APIs, and CI/CD workflows for CRM/ERP integrations, automating data flows and deploying cloud solutions for clients.
Build and deploy scalable data and AI pipelines using Snowflake, Airflow, and Spark to support clients' data platforms.
Owns and builds data pipelines to transform product features into accurate reporting for advertisers using SQL, data modeling, and orchestration tools like Dagster or Airflow.
Build and maintain scalable data pipelines and systems for a geolocation analytics platform, integrating diverse datasets and optimizing big-data infrastructure.
Lead a European data-engineering team to build and maintain Snowflake, dbt and Airflow pipelines while ensuring code quality and cross-functional collaboration.
Build and maintain data pipelines and fraud-detection systems for a fintech platform, using Python, GCP, and Airflow to support banking compliance and regulatory reporting.
Build and maintain data pipelines and cloud-based data platforms for clients using Python, SQL, Docker, Kubernetes, and Terraform across GCP, Azure, and AWS.
Senior Data Engineer to unify and scale Leetchi Group's data warehouse (Donora) using Snowflake, dbt Core, and Airflow while ensuring security and governance.
Build and optimize scalable data pipelines on Databricks and cloud platforms, ensuring data quality and performance for enterprise clients.
Migrate an ETL pipeline to an ELT workflow using dbt and Airflow on PostgreSQL, converting Python/Pandas transformations to SQL and scaling the architecture to ~150 resources.
Build and maintain scalable data pipelines and ML services for real-time analytics and recommendations using Python, Spark, Kafka, and cloud platforms.
Build and maintain scalable data pipelines and infrastructure for a media company using Python, Spark, BigQuery, and GCP.
Builds real-time data pipelines using Kafka/PubSub, Java/Scala services with Spring Boot, and Airflow orchestration on Kubernetes.
Build and maintain scalable data pipelines and BI infrastructure on GCP (BigQuery), using dbt and Trino to feed MicroStrategy dashboards and enable AI-driven insights.
Build and maintain Nutripure’s data platform on GCP, ensuring reliable, fresh data pipelines and enabling analysts with clean models and observability.
Build and deploy data pipelines, cloud data platforms, and ML systems for clients using Databricks, Spark, AWS, and MLOps tooling.
Build and optimize Snowflake-based data pipelines and dbt models for enterprise clients, ensuring robust data architecture, governance, and performance under the Modern Data Stack.
Consultant builds and maintains data pipelines, warehouses, and catalogs for clients using tools like Talend, Microsoft Fabric, and Azure, while advising on best practices.
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