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Design and optimize Snowflake-based data warehouses and ETL pipelines using SQL, Python, and cloud platforms to support analytics and reporting.
Principal Data Engineer builds and scales cloud data pipelines using Databricks/PySpark, DBT, Airflow, and Snowflake to power analytics for retail, CPG, and fintech clients.
Lead a team of nine engineers to build and maintain cloud data pipelines using Informatica and AWS services, extracting data into Redshift and Denodo for analytics.
Build and optimize scalable data pipelines using PySpark, SQL, and orchestration tools to ensure reliable data for analytics and advanced models in a hybrid environment.
Build and maintain data pipelines and cloud data warehouses (Azure, AWS) using PySpark, Databricks, SQL, and Qlik to support analytics and decision-making in a pharma company.
Build and maintain scalable data pipelines using Snowflake, Python, and SQL on AWS or GCP to support analytics and reporting for clients in healthcare, finance, e-commerce, and retail.
Designs and builds ETL pipelines, optimizes data warehousing, and contributes to dashboards using Hadoop, Spark, and Snowflake.
Build and maintain ETL/ELT pipelines and data warehouses to power HR analytics and reporting for a cloud-based payroll and HCM platform.
Build and maintain scalable data pipelines and infrastructure to power AI/ML features in Tebra’s healthcare EHR platform, ensuring reliable, high-quality datasets for model training and production inference.
Build and maintain ETL/ELT pipelines and data warehouses to power analytics for podcast and digital-advertising campaigns using SQL, Python, and cloud tools.
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.
Build and maintain AWS-based data pipelines using Python, SQL, and CI/CD to move and transform data for analytics and reporting.
Design and build scalable ETL/ELT pipelines and semantic data models in Snowflake and Databricks to power Instructure’s edtech data infrastructure.
Build and maintain ETL pipelines, data warehouses, and lakes using Ab Initio, PySpark, and SQL to process and analyze financial data securely at scale.
Database Administrator designs and tunes Oracle databases to support scalable logistics applications, ensuring performance, security, and reliability for global projects.
Analyze retail data to build dashboards and ETL pipelines that guide business decisions using Power BI, SQL, and Snowflake.
Designs, builds, and optimizes ETL pipelines to integrate banking data into a data warehouse using SQL, Informatica/DataStage, Linux, and Python.
Build and maintain Tableau dashboards and SQL-based reports to turn retail sales and operational data into actionable insights for a pan-Asian retail group.
Design and build enterprise-scale BI solutions using Power BI and SSAS, creating dashboards and data models with DAX and SQL for a large tech/telecoms firm.
Build and operate a high-throughput crypto market-data platform: ingest exchange APIs, run streaming/batch pipelines, and maintain storage backends like Iceberg, ClickHouse, and PostgreSQL to serve trading desks and analytics.
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