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Lead a team of data engineers to build and scale a modern Data Lakehouse (AWS S3, Iceberg, EMR) and transformation frameworks (dbt) for a global streaming platform, enabling self-serve analytics and AI readiness.
Build and maintain scalable data pipelines and BI dashboards for a fintech company, using big data tech like Spark and cloud platforms such as GCP.
Build and maintain scalable ETL pipelines in Databricks, write optimized SQL, and automate analytics reports using Power BI/Tableau/Looker for enterprise clients.
Build and maintain data pipelines, dashboards, and AI-enhanced analytics for a trading technology team in Singapore.
Entry-level AI Data Engineer builds cloud-native data pipelines and automation for cybersecurity SOC operations using AWS, Python, and IaC tools like Terraform.
Builds and maintains data pipelines, writes Python/SQL to transform raw data, and creates Power BI/Looker dashboards for business insights.
Build and maintain data pipelines using Python, SQL, and Databricks to enable analytics and reporting for enterprise clients.
Analytics Engineer implements and maintains Google Analytics 4, GTM, and tagging plans to track marketing data and optimize conversion rates.
Senior AI Data Engineer builds and maintains scalable ELT pipelines and dbt models for Zendesk’s analytics platform, integrating AI tools to enhance data delivery and team productivity.
Build and maintain cloud-based data pipelines and transformations using GCP, Python, and SQL to turn raw data into business insights for enterprise clients.
Analyzes user behavior and platform performance for an adult entertainment and games company, building reports and dashboards to guide product and ad-platform decisions using SQL, BigQuery, and BI tools.
Cybercrime is rising, reaching record highs. According to the FBI's IC3 report total losses exceeded $16 billion. With investment fraud and BEC sams at the forefront, the message is clear: the real estate sector…
Build and maintain scalable data pipelines on GCP to power travel-tech analytics, using Python, dbt, Airflow, and BigQuery while collaborating with cross-functional teams.
Builds scalable data pipelines and medallion architectures on Databricks and cloud platforms for clients, translating business needs into production-grade ELT/ETL solutions.
Analyzes multi-channel marketing data to build dashboards and executive reports that track campaign ROI and SLA compliance for leadership reviews.
The Performance Marketing Data Specialist is responsible for analyzing and optimizing digital marketing campaigns by leveraging data from multiple performance channels. This role plays a crucial part in supporting…
Senior Data Platform Engineer builds and maintains scalable ETL pipelines and cloud infrastructure for market-research data products using AWS, Azure, Snowflake, Databricks, Airflow, and Looker.
Leads analytics for gaming products, ensuring data quality and collaborating with engineering and product teams using SQL, BigQuery, and Looker.
Builds and maintains scalable GCP data pipelines and ETL workflows in Python to process and store large datasets for analytics and insights.
Analyzes retail, luxury, and consumer-goods data using BigQuery, SQL, and Python, ensuring quality and building cloud pipelines in a hybrid Mexico City role.
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