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Build scalable data pipelines and AI/ML solutions using LLMs for a banking client’s anti-financial crime systems.
Build and maintain a big-data platform on Azure Databricks using Spark, Scala, and Java to support valuation and risk services for a financial-insurance platform.
Designs and leads Azure-based data platforms using Databricks, SQL, and Python, collaborating with stakeholders to set data strategies and ensure high-quality data delivery.
Senior Data Engineer builds and maintains Azure Fabric and Synapse pipelines, integrating and transforming data for clients and internal teams.
Build and maintain scalable Python-based data pipelines and ETL/ELT processes for a global banking client’s modern data platform and microservices architecture.
Build and operate Snowflake-based data platforms that power GenAI and advanced AI use cases at enterprise scale, integrating vector search, RAG, and agent workflows.
Designs and builds cloud data pipelines on Azure, using Spark and ML to ingest, cleanse, and transform plant data for analytics and decision-making.
Lead a team of data engineers in Warsaw, setting standards and improving a mature data platform using SQL, Python, Spark, and cloud tools while aligning with UK stakeholders.
Builds and maintains data platforms using Azure, Databricks, and AWS, focusing on Lakehouse architectures, ETL/ELT pipelines, and high-quality data delivery for analytics and AI teams.
Designs and builds scalable data pipelines and warehouses for international clients, ensuring high-quality data systems and reliable performance.
Design and automate AWS-based data infrastructure using Terraform and Python, building scalable pipelines for ingestion, transformation, and validation.
Designs and builds scalable data pipelines, warehouses, and ETL processes using GCP, BigQuery, Python, SQL, dbt, and Airflow for global clients.
Builds and maintains scalable data pipelines for gaming analytics, ensuring data quality and supporting real-time LiveOps using Python and cloud platforms.
Designs and implements cloud and AI-driven data pipelines for enterprise clients, using SQL and Python to build scalable solutions.
Build and optimize data pipelines for a proteomics platform using bioscience data and software engineering to improve early disease detection.
Builds and maintains AI-driven data pipelines on AWS and Snowflake to power analytics and SaaS risk-exchange operations using Python.
Designs and maintains data pipelines for a lakehouse and AI platform at a global investment bank, using Python/Java and distributed processing frameworks.
Builds and maintains data pipelines and warehousing systems to power product analytics and insights at Zendesk.
Build cloud-based data platforms on Azure and AWS to power analytics and decision-making using SQL, Python, and big data tools.
Builds ETL pipelines and hybrid data platforms for healthcare revenue cycle management systems, integrating onsite and offshore workflows.
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