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Designs and maintains data pipelines, models, and ETL/ELT workflows while ensuring governance, security, and performance for a large industrial company.
Designs and maintains ETL/ELT pipelines and data lakes for a government transformation program, integrating on-premises and cloud systems while ensuring compliance and security.
Build and maintain AWS-based data pipelines and migrations using Redshift, PostgreSQL, Python, and SQL to ensure secure, scalable data delivery for analysts and engineers.
Senior data engineer builds and owns full-stack data platforms in AWS with Snowflake or Databricks, designing lakes, pipelines, and DataOps at enterprise scale.
Design and build scalable data pipelines and Lakehouse/Data Warehouse solutions using Microsoft Fabric, Azure Synapse, and Databricks to enable analytics and AI workloads.
Senior Data Engineer builds and maintains enterprise-scale data pipelines, warehouses, and lakes for a government digital transformation program, using SQL, Python, and cloud/on-prem platforms.
Manage a European data-engineering team, build and optimize Snowflake/Matillion pipelines, and enforce quality, monitoring and documentation standards.
Designs and automates GCP-based data pipelines and cloud architectures using BigQuery, Dataflow, and Terraform.
Designs and optimizes AI/ML algorithms on Google Cloud’s Vertex AI, builds scalable data models, and mentors engineers using Python and SQL.
Maintain and troubleshoot data pipelines (ETL/ELT), optimize dbt models and Snowflake objects, and validate data in a production warehouse.
Lead a team building scalable cloud data pipelines and ETL workflows to migrate legacy systems to modern platforms like Databricks or Snowflake.
Senior Data Engineer builds scalable BigQuery pipelines and data models to harmonize financial and operational data for a global e-commerce platform, using Airflow, SQL ELT, and data governance tools.
Senior Data Engineer builds and scales data pipelines for Booking.com’s regulated payments and e-money services, ensuring compliance, quality, and traceability across financial systems.
Build and maintain real-time data pipelines using CDC, Kafka, Spark, and Iceberg to move and transform enterprise data across Bronze-Silver-Gold layers.
Builds and optimizes data pipelines for banks using Python, ETL tools (Informatica, Airflow, Spark), and databases (Oracle, ClickHouse) to support regulatory reporting and analytics.
Lead a data engineering squad building real-time CDC pipelines, analytical warehouses, and AI-driven workflows in Go for a fintech platform serving creators and freelancers.
Build and maintain scalable data pipelines and transformations using Python, SQL, dbt, and Snowflake to power BI, analytics, and AI initiatives in a modern DataOps environment.
Designs and builds secure, scalable cloud data pipelines and platforms using Azure/AWS/GCP, Databricks, and Spark to power analytics and AI workloads.
Design and modernize enterprise-scale data warehouses for financial institutions, focusing on Teradata and Microsoft Azure ecosystems, while ensuring regulatory compliance and governance.
Designs and modernizes enterprise data warehouses, builds scalable data models, and sets up cloud-based ETL/ELT pipelines for analytics and AI-ready data foundations.
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