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Senior data engineer builds and maintains Databricks-based data warehouse and real-time pipelines for a financial trading business, modeling trades, positions, and market data.
Build and maintain scalable data pipelines and warehouses to power analytics and ML for a social-media company.
Lead a small team to design, build, and scale cloud-based data pipelines and platforms using Python, SQL, and tools like Airflow, Spark, and Snowflake for reliable, ML-ready data.
Build and maintain scalable data pipelines and warehouses for analytics and ML using Python, SQL, Spark, and cloud tools.
Build and maintain Python/SQL-based ETL pipelines to integrate hospital data into Meduit’s revenue-cycle systems, ensuring data quality and scalable data architecture.
Lead a team to design and build enterprise-scale data warehouses, lakes, and analytics pipelines using SQL, Python, and cloud platforms like Snowflake/AWS.
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.
Builds and optimizes Spark-based ETL pipelines in Databricks to turn raw insurance data into clean, analytics-ready formats using Spark SQL and Python.
Build and maintain ETL pipelines in SSIS, optimize SQL Server databases, and ensure data quality using T-SQL, Git, and Snowflake for clients.
Build and maintain ETL pipelines and data warehouses using SQL Server, SSIS, and Snowflake, ensuring data quality and performance for client systems.
Lead a team building AI-ready data platforms for ecommerce and media, designing scalable pipelines and semantic layers to power analytics, ML, and generative AI across Universal Music Group.
Senior Data Analytics Engineer builds and maintains scalable ETL pipelines and data models in cloud warehouses, transforming raw enterprise data into clean, reliable assets for analytics and reporting.
Design and build scalable data pipelines and models in Snowflake/Databricks using dbt, SQL, and Data Vault/Anchor Modeling to deliver clean, reusable data for BI and analytics.
Sun World International is a global leader in the breeding, development, and licensing of premium fresh fruit varieties. We partner with growers in more than 30 countries to bring innovative table grape, stone fruit,…
Builds analytics-ready datasets using Data Vault 2.0 and dimensional modeling to power BI and self-service analytics for enterprise reporting.
Designs and builds scalable data pipelines and warehouses using MS SQL, Python, and Microsoft Fabric to power analytics and AI solutions in a hybrid role.
Designs and maintains scalable GCP data pipelines and warehouses using BigQuery, Dataflow, and Airflow to enable analytics and ML workflows.
Design and build scalable data pipelines and analytics platforms using Microsoft Fabric, SQL, and Python to consolidate operational data into actionable insights for business reporting and decision-making.
Design and build scalable data pipelines, ETL processes, and dashboards for a media company using Azure, Databricks, Spark, and Python.
Build and optimize Microsoft-based data infrastructure for real-time financial analytics, fraud detection, and BI systems using Azure Data Platform and Microsoft Fabric.
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