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Data Engineer
Build and maintain data pipelines, ETL/ELT systems, and warehouses in AWS to feed analytics and ML models, using Python, SQL, Spark and Kubernetes.
Data Engineer
Build and maintain scalable data pipelines and warehouses for analytics and ML using Python, SQL, Spark, and cloud tools.
Data Engineer
Build and maintain scalable data pipelines, ETL processes, and data models using Python, Spark, SQL, and cloud services to support analytics and reporting.
Full Stack Technical Lead (AI + Google)
Lead full-stack AI projects on Google Cloud, designing scalable systems with LLMs, RAG, and multi-agent architectures while mentoring teams and enforcing AI-assisted development standards.
Data Engineer
Build and maintain cloud-based data pipelines and integrations for a UK professional-services group, using Azure, Python, and SQL to standardize and deliver data for reporting, analytics, and AI.
Privacy-Safe Data Engineer: Audience & Inference
Builds privacy-safe data pipelines and inference layers for audience targeting and marketing intelligence, focusing on aggregated historical signals.
Cloud & Data Infrastructure Engineer
Designs, implements, and maintains cloud and data infrastructure, including servers, storage, and ETL pipelines, ensuring high availability and security.
Analytics Engineer (Data Infrastructure & Business Insights)
Build and maintain ETL/ELT pipelines in dbt and BigQuery, create BI dashboards in Looker Studio, and ensure data quality while collaborating with operations, sales, finance, and tech teams.
Data Engineer
Data Engineer consults on big-data solutions, designs cloud and on-prem databases, and delivers tutorials and code samples for clients using tools like Hadoop, Spark, and Google BigQuery.
Data Engineer
Build and maintain scalable data pipelines and infrastructure to power analytics and ML systems, ensuring high-quality, production-ready datasets.
Data Engineer
Build and maintain Python-based ETL pipelines to transform unstructured data into clean, structured datasets for analytics, using SQL and Azure Data Factory.
Data Engineer
Build and maintain ETL/ELT pipelines and data processing systems using Python, SQL, Apache Airflow, and dbt.
Lead Data Engineer
Lead a team to design and build enterprise-scale data warehouses, lakes, and analytics pipelines using SQL, Python, and cloud platforms like Snowflake/AWS.
Freelance Data Engineer
Build and maintain scalable ETL/ELT pipelines, optimize data warehouses, and deploy ML models on Google Cloud Platform using Python and SQL.
Data Engineer: Scalable Pipelines & ML Readiness
Designs and maintains scalable data pipelines for analytics and ML readiness, integrating multiple data sources and ensuring reliability.
ETL Data Engineer: Build & Optimize Pipelines
Designs, builds, and optimizes ETL/ELT pipelines to extract, transform, and load data into warehouses and lakes while ensuring accuracy and performance.
Data Engineer - Zurich Asuransi Indonesia
Builds and optimizes ETL/ELT pipelines in Databricks using Spark SQL and Python to transform raw insurance data into clean, analytics-ready datasets for data scientists and analysts.
Data Platform Engineer - GTech
Build and maintain scalable, secure big-data infrastructure using Hadoop, Spark, Kafka, and cloud-native services to support analytics and pipelines.
Data Engineer: ETL, ML & GCP Data Lakes
Designs and maintains ETL/ELT pipelines, manages databases, and deploys ML models using Python, SQL, and GCP services.
Sales Data Engineer: ETL/BI & Cloud
Designs and maintains ETL/ELT pipelines and cloud-based data platforms to feed BI and advanced analytics for a food-production company.