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Enterprise AI Architect
Designs and implements end-to-end AI ecosystems, integrating models, data pipelines, and MaaS/Agentic AI frameworks for global enterprise deployment.
VP Data Platform Engineer - Lakehouse & AI
Design and build scalable, reliable data pipelines for Goldman Sachs’ Lakehouse and AI platform using Python/Java and SQL, supporting high-impact analytics and AI use cases.
Lead, Data Governance (Remote)
Lead Alpaca’s data governance program: set classification, access, and protection standards for its global lakehouse and analytics stack while ensuring compliance with financial regulations and audits.
Senior Data Engineer
Design and build Azure Lakehouse architectures with Databricks, ADLS Gen2, Synapse, and Data Factory, and develop scalable ETL/ELT pipelines using Spark and Delta Lake.
Software Developer - Senior Consultant
Senior consultant builds and maintains ETL pipelines with Informatica and AWS/Databricks to move and transform data into analytics-ready datasets.
Project Manager Data Senior (m/f/d)
Leads end-to-end data projects, coordinates technical and functional teams, and ensures delivery of ETL, BI, and analytics solutions using cloud and data architectures.
Manager Data Engineering
Leads a team to build and maintain scalable data pipelines and models for enterprise reporting and analytics on a cloud data lakehouse using medallion architecture.
Data Infrastructure Engineer
Build and maintain scalable data pipelines and a modern data lake on AWS to power AI/ML analytics modules.
Healthcare Data Engineer (계약직)
Builds and maintains standardized healthcare data pipelines for AI models by cleaning, mapping, and transforming EMR/CDW data into OMOP-CDM and other clinical standards.
Experienced Data Engineer
Build and maintain data pipelines, ETL/ELT processes, and AI-driven analytics on Arla’s Azure Databricks and Power BI platform using PySpark, SQL, and Terraform.
Senior Technical Business Analyst (Data) (Remote)
Bridge business needs with data teams to design billing and analytics solutions, model insurance data in a lakehouse, and migrate legacy reports to Power BI dashboards.
Senior Data Engineer
Senior Data Engineer builds and scales Satispay’s data platform, owning pipelines, analytics engineering with dbt, ML feature stores, and real-time streaming to power payments, savings, and investing features.
Data Engineer (senior)
Senior data engineer building scalable data pipelines, modeling layers (Raw/Clean/Enriched), and implementing fuzzy matching algorithms in Python to clean and link records.
Data Analyst
Design and prototype data models in Azure Data Lakehouse, translating business needs into conceptual, logical, and physical models while collaborating with engineers and stakeholders.
Sr Product Owner
Owns BI and analytics products for supply chain, manufacturing, and planning; builds Power BI dashboards and data models to drive smarter decisions and faster innovation.
Data Engineer
Build and maintain a Databricks-based BI platform, writing PySpark ETL pipelines and optimizing data models to power Securitas’ global security analytics and reporting.
Data Engineer
Designs and builds scalable data pipelines and warehouses for ad-tech/media clients using Python, AWS, Snowflake, Airflow, and dbt.
Senior Data Engineer — Azure Lakehouse Investment Analytics
Designs and builds scalable Azure-based ETL/ELT pipelines and Lakehouse solutions for investment analytics, including data warehousing, modeling, and API/SFTP integrations.
Data & AI Architect
Design and implement Microsoft Fabric data pipelines, medallion architecture, and AI-ready data models, then migrate legacy BI reports to modern Power BI with AI features.