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Build and maintain scalable data pipelines on Databricks and Azure to feed analytics, ML, and reporting for an insurance company.
Build and maintain Azure-based data pipelines using T-SQL, Azure Data Factory, Databricks, and Synapse to deliver clean, reliable datasets for analytics and modeling.
Senior Data Engineer builds and optimizes ETL pipelines, migrates legacy systems to cloud platforms like Snowflake and Databricks, and designs scalable data workflows using Python, SQL, and Airflow for a financial services client.
Designs and maintains ETL pipelines, data warehouse architecture, and SSAS/Power BI models for a financial/insurance company’s BI systems.
Designs and maintains scalable ETL/ELT pipelines and dimensional models to feed a data mart, ensuring data quality and reliability for analytics.
Design and maintain enterprise-scale data models in Snowflake using dbt to power analytics for a major integrated resort and casino.
Designs and builds scalable data pipelines and warehouses using Python, Spark, and Snowflake to support analytics and ML workloads for enterprise clients.
Build and optimize enterprise-scale data models and pipelines using dbt, Snowflake, and SQL for a leading travel and tourism client.
Senior Data Engineer designs and optimizes scalable data pipelines, warehouses, and real-time streaming systems using GCP/AWS, Python, Java, and SQL to enable analytics and AI-driven solutions.
Build and maintain scalable data pipelines and cloud data warehouses using Azure Data Factory, Snowflake, dbt, SQL, and Python to power marketing analytics and enterprise reporting.
Build and maintain GCP-based data pipelines and warehouses using BigQuery, Composer, Python, and SQL to integrate and transform diverse data sources.
Senior Data Engineer builds and scales Snowflake-based cloud data platforms, designs ELT pipelines, and optimizes data models to power analytics and reporting across a fintech organization.
Senior Data Engineer builds and optimizes cloud data platforms using Snowflake and Redshift to power analytics and reporting across a fintech organization.
Builds and maintains ELT/ETL pipelines and data marts for a retail analytics platform, transforming OLTP data into governed, business-ready datasets for reporting and forecasting.
Lead the architecture and evolution of Kueski’s data platform, designing scalable batch/streaming pipelines and AI-centric solutions while setting engineering standards and mentoring teams.
Design and maintain automated ETL/ELT pipelines to ingest and transform network telemetry into an analytics-ready data mart, while enforcing data quality, governance, and observability.
Design and maintain scalable ETL/ELT pipelines to ingest and transform network telemetry data into an optimized data mart for analytics, ensuring high availability, data quality, and governance.
Designs and maintains AWS-based data pipelines and cloud infrastructure using Python, SQL, and AWS services like Glue and Lambda to build scalable, secure data solutions.
Design and maintain scalable data marts and ELT pipelines using DBT, Fivetran, and SQL to power analytics for e-commerce and logistics platforms.
Senior Data Engineer builds and optimizes Snowflake-based data platforms and dbt models to unify T&G’s global produce supply chain data, enabling analytics and future AI capabilities.
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