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Build and maintain scalable ELT pipelines and data infrastructure for Spirii’s EV charging platform, ensuring reliable data flow into Amazon Redshift and supporting analytics for charging events, subscriptions, and financial transactions.
Build and maintain data pipelines that feed VML’s Open Intelligence platform, focusing on adtech/martech data connectors, SQL-based pre-aggregation, and cloud-native tooling.
Build and maintain data pipelines, ETL processes, and storage infrastructure to ensure reliable, scalable data flow for analytics and decision-making.
Lead a team of data engineers building and maintaining data pipelines for Open Intelligence, focusing on adtech/martech data connectors using Python, SQL, and Scala in cloud environments like GCP/AWS.
Design and operate scalable AWS-based data pipelines and platforms to power analytics and AI products, using Python, Scala, Spark, and Flink.
Build and maintain scalable data pipelines and backend systems in Python/SQL to power Hakio’s climate-focused fashion supply-chain platform on GCP.
Senior Data Engineer builds SQL-based data models and BI dashboards for marketing and e-commerce clients, translating business needs into analytics solutions using cloud warehouses like BigQuery and tools like Tableau.
Design and build data marts, ETL/ELT pipelines, and dimensional models to support analytics and reporting for fintech clients using Databricks, AWS, and SQL.
Senior Data Engineer builds SQL-based data models and BI dashboards for marketing and e-commerce clients, using cloud warehouses (BigQuery, Snowflake) and tools like Looker Studio or Tableau.
Build and maintain AI/ML pipelines and data infrastructure to support classification, detection, and predictive models using Python, Spark, and cloud data services.
Lead a data engineering team to build and maintain scalable, secure data architectures that power AI-driven HR-tech products and internal analytics at Rankmi.
Senior Data Engineer builds and maintains AWS data pipelines, ensuring quality and consistency via ETL/ELT and Medallion architectures.
Build and maintain cloud data pipelines for a major Chilean bank, integrating AWS and Azure services to ensure reliable, high-quality data for analytics and BI.
Design and build AWS-native data pipelines, optimize Redshift/S3 storage, and automate ETL with Python/SQL for a global client.
Build and optimize AWS-based data pipelines (ETL/ELT) using Glue, S3, Python/PySpark to ingest and transform customer data for analytics and automation.
Senior Data Engineer builds and maintains cloud data pipelines on AWS, enforces data-quality rules, and implements Medallion architectures to ensure reliable, scalable data for analytics.
Build and maintain data pipelines, models, and connectors using SQL, dbt, and cloud tools to deliver clean, standardized datasets for analytics and AI.
Design and build AWS-native data pipelines and warehouses, transforming raw data into insights using Python, SQL, and Terraform.
Lead the design and build of enterprise-scale data platforms on AWS and Databricks, mentoring engineers and owning ETL pipelines, data models, and BI integrations for analytics and AI initiatives.
Senior AWS Data Engineer designs and builds scalable data pipelines and cloud data platforms using AWS services like S3, Glue, and Redshift to power analytics and AI/ML initiatives.
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