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Data Engineer — ETL & Data Warehouse for Analytics Impact
Designs and maintains ETL/ELT pipelines and data marts to deliver clean, analytics-ready datasets for Sales, Finance, and Operations using SQL, Python, and Databricks.
AI & Data Engineer — ML Pipelines, MLOps & Cloud
Design and optimize ML pipelines and cloud infrastructure to move AI models from experimentation to production, ensuring data quality and security.
[Job-30699] Senior Python Developer ( Data Engineer ), Brazil
Senior Python developer refactors and modernizes production forecasting and data-processing platforms, applying clean-code and data-engineering best practices.
Senior Data Engineer & Data Architect
Designs and builds scalable data pipelines and architectures for financial clients using Informatica IICS and Snowflake, enabling analytics and investment decisions.
SaaS Data Analyst: Power BI & AI-Driven Insights
Build Power BI dashboards and SQL queries to deliver AI-enhanced insights for a SaaS company’s sales, finance, and operations teams.
Data Engineer
Designs and builds Azure Data Lake pipelines to ingest, transform, and store large datasets for analytics and reporting.
Remote Data Engineering & Migration Analyst
Build and automate data pipelines, migrate legacy systems to modern platforms, and ensure data accuracy and reliability for a fintech lender.
Remote Data Engineer - Web Scraping (5-Month Contract)
Maintain and optimize Python-based web scraping pipelines, ensure data quality for a Datalake, and troubleshoot errors in ETL workflows on Azure.
Data Scientist
Build and deploy ML models to extract insights from data, create dashboards, and collaborate with teams to solve business problems using Python/R and statistical techniques.
Assistant Engineer – Data Analyst
Designs and builds data-analysis tools to extract trends from large datasets, creates visualizations, and reports insights for stakeholders in a government-owned utility.
Data Engineer
Build and maintain scalable data pipelines and infrastructure to power analytics and AI for a logistics startup, using cloud-native tools and modern data stacks.
Manager - Data & AI engineer (H/F)
Lead data engineering and AI industrialization for large clients: design modern data architectures, build robust pipelines, and deploy GenAI solutions with MLOps/LLMOps best practices.
Remote Data QA Engineer — Enterprise ETL & BI Quality
Validates enterprise ETL pipelines and data migrations to ensure accuracy before analytics. Uses SQL and test automation to collaborate with DBAs and analysts.
On-site Senior QA Engineer - Data Analytics & Reporting
Senior QA Engineer validates data integrity and performance for reporting dashboards, data warehouses, ETL pipelines, and analytics platforms using manual and automated testing in Snowflake and SQL.
Senior Full-Stack Engineer — Data & AI Platform (Remote)
Senior Full-Stack Engineer building backend services and frontend interfaces for a marketing analytics platform using Python (FastAPI/Flask) and React/TypeScript, with PostgreSQL and AI-assisted tools.
AWS Data Engineer - KT
Designs and builds AWS-based data lakes and lakehouses, setting up ingestion pipelines, storage tiers, and governance using Glue, Redshift, Lambda, and Lake Formation.
Data Engineer (AWS)
Design and build an AWS-based Data Lake and Lakehouse platform, implementing pipelines with Glue, S3, Redshift, Lambda, and Kinesis while ensuring reliability, security, and cost efficiency.
Sales Operations Associate
At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be…
Cloud & Data Architect | Cio Advisory
Design hybrid/multi-cloud and data architectures for enterprise clients, focusing on cloud-native strategies, data platforms, and cost optimization in sectors like finance, energy, and public services.
LEAD DATA ENGINEERING, INTEGRATION & GOVERNANCE
Lead a team building and operating the data engineering foundation for ABB’s Digital Engineering Data Strategy, including ETL pipelines, semantic integration, and governance to support Digital Twins, knowledge graphs, and analytics across enterprise systems.