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Design and maintain scalable ETL/ELT pipelines in Python (PySpark) and Snowflake, optimizing data warehouses and ingesting data from REST APIs and cloud storage.
Design, build, and maintain scalable ETL pipelines and data-quality frameworks to ensure reliable enterprise data access and analytics for Milwaukee Tool.
Designs event-driven data pipelines on GCP to automate deployment and testing, transforming raw data into trusted insights for analytics teams using Python, SQL, and BI tools.
Lead a team building scalable Snowflake and AWS data pipelines for enterprise clients, enforcing Medallion Architecture, data quality, and governance in an ELT-focused environment.
Build and optimize cloud data pipelines using Python, PySpark, Spark SQL, and Kafka on GCP for global clients.
Designs and maintains cloud data pipelines using GCP, IICS, Spark, and Java, integrating APIs and ensuring data quality for scalable analytics solutions.
Builds and maintains global health data pipelines using Airflow, Snowflake, and dbt to deliver clean, scalable datasets for analytics and insights.
Designs and builds ETL pipelines in AWS Athena, writes SQL queries, and creates Tableau dashboards to deliver business insights.
Senior Data Engineer builds and owns scalable data pipelines and dbt models, translating business needs into robust data solutions while collaborating with global teams.
Build and maintain ETL pipelines to integrate, transform, and store financial data for BI and analytics, supporting decision-making in a beverage company.
Build and maintain AWS-based ETL pipelines using Python, PySpark, Glue, Lambda, and Redshift to move and transform data for analytics.
Design and scale AWS-based data pipelines for high-volume time-series data from industrial sources, building a Data Lakehouse and optimizing ETL/ELT workflows for analytics-ready datasets.
QA engineer who designs and automates tests for Databricks data pipelines and cloud migrations on AWS/Azure, validating data accuracy and ETL logic.
Designs and builds real-time data pipelines using Azure Synapse, Kafka, and SQL Server, then visualizes results in Power BI for a global tech outsourcing firm.
Build and deploy AI applications, integrate with APIs and cloud data platforms using Python and SQL.
Build and scale FINN’s data platform from scratch, implementing BigQuery governance, dbt pipelines, and modern data infrastructure to democratize financial data across the fintech startup.
Build and maintain scalable data pipelines on AWS using Python to power AI-driven HR analytics and insights.
Builds and maintains petabyte-scale data pipelines and distributed services in Python to power TRM Labs' financial-crime detection platform.
Design and build an enterprise-scale data platform to power AI workloads, real-time pipelines, and governed data products using Microsoft Fabric, Databricks, and Azure tooling.
Blend360 is seeking a Data Quality Engineer to enhance data quality across platforms in Mexico, Jalisco. The successful candidate will have strong experience with Azure and Databricks, responsible for implementing…
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