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Leads AI/ML projects for a global consulting firm, designing predictive models, ETL workflows, and data pipelines to solve high-stakes business challenges (e.g., cost reduction, revenue growth) using Python, SQL, and cloud tools like AWS/Azure.
Lead AI/ML projects for a global consulting firm, building predictive models, ETL pipelines, and dashboards to drive client outcomes in high-stakes business scenarios.
A Data Engineer (Junior or Semi Senior) designs and develops data pipelines, integrates internal/external data sources, ensures data quality and availability, optimizes ETL processes, and documents datasets, using AWS (Glue, S3, Redshift, etc.), SQL, Python, PySpark, Spark, and Git.
Risk Data Engineer at Oka (Hiraoka's fintech) in Peru, building credit decision engines, real-time data architectures on AWS, and risk features using SQL and Python.
Builds scalable cloud-based data pipelines and architectures for Cencosud’s e-commerce platform, focusing on AWS, Python, and Airflow to process and warehouse data.
Company Description Farther is a rapidly growing RIA that combines expert advisors with cutting-edge technology - delivering a comprehensive, tailored wealth management experience. Farther’s founders are leaders and…
Data Engineer with BI specialization working on high-impact data projects in advertising and media. Responsibilities include integrating client data infrastructure, automating processes, developing custom reporting, and working with SQL, BigQuery, DBT, and Power BI in cloud environments.
Builds and maintains scalable data pipelines and ETL/ELT processes for clients, using cloud tools like Azure Data Factory, AWS Glue, and Snowflake to transform raw data into actionable insights. Works collaboratively with cross-functional teams to optimize data platforms and support analytics initiatives.
P-1554 As a Staff Technical Designated Engineer and tech subject matter expert, you will partner closely with our Field and Engineering teams to deliver high-touch specialized support and tailored technical solutions…
Designs and optimizes AWS-based data pipelines (ETL/ELT) using SQL, Python, and AWS services like Glue, Redshift, and Kafka to enable analytics and reporting for data-driven decisions.
Designs and maintains scalable data pipelines and warehouses that feed analytics and ML teams, using cloud platforms and modern data tools.
Senior Data Engineer builds and scales Snowflake-based data pipelines and warehouses for capital-markets clients, using AWS and ETL tools to deliver analytics-ready data products.
Designs and leads hybrid cloud data platforms on AWS, collaborating with stakeholders to build scalable pipelines and mentor teams on best practices.
Builds and maintains scalable data pipelines and warehouses for Marti’s mobility platform, integrating ride-hailing, e-scooter fleets, and IoT systems to enable real-time analytics and decision-making.
Customer analytics / recommendation engines AWS Data & AI Engineering (Hands-on) Role Summary We are seeking a Senior Data & AI Presales Engineer to act as a Forward Deployed Engineer (FDE) —working directly…
Customer analytics / recommendation engines AWS Data & AI Engineering (Hands-on) Data Engineering We are seeking a Senior Data & AI Presales Engineer to act as a Forward Deployed Engineer (FDE)—working directly…
Builds data pipelines and models in Redshift/Data Lake, then designs Tableau dashboards for SportSG’s public-sector analytics, leveraging AWS infrastructure.
This position bridges the gap between business requirements and technical implementation. It encompasses the design of data pipelines, integrations, and storage solutions (databases, data warehouses, and big data).…
The Data Engineer – Business Intelligence & Dashboards will be responsible for the following: Stakeholder Engagement: Partner with business units across SportSG to understand data and reporting needs Translate…
GCI embodies excellence, integrity and professionalism. The employees supporting our customers deliver unique, high-value mission solutions while effectively leverage the technological expertise of our valued workforce…
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