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Designs and builds scalable data pipelines, optimizes Snowflake schemas, and enforces DataOps with CI/CD, Docker, and automated testing in Python.
Design and maintain scalable data pipelines and cloud architectures, transforming raw data into insights for strategic decisions.
Senior Data Engineer builds and scales a modern data platform, designing ETL/ELT pipelines, optimizing Snowflake schemas, and implementing DataOps with Airflow/Prefer/Dagster.
Designs, builds, and maintains scalable data pipelines and warehouses using SQL, Spark, Databricks, and Snowflake to ensure clean, reliable data for analytics and decision-making.
Designs and builds scalable data pipelines on Google Cloud Platform (BigQuery, Data Fusion, Airflow) to support HR analytics and business decision-making.
Build and maintain secure, scalable data pipelines and infrastructure using Airflow, Snowflake, and DBT to support analytics and healthcare research globally.
Design and maintain scalable data pipelines, cloud data lakes/warehouses, and ETL workflows using Python, Spark, and Airflow to support analytics and ML across AWS/GCP/Azure.
Build and maintain data pipelines in Databricks/Azure, clean and validate financial data, and document ETL processes to support analytics and reporting for a Mexican fintech.
Build and optimize Snowflake-based data pipelines using Matillion and Python to power analytics and AI use cases for a large retailer.
Build and maintain GCP-based data pipelines (ETL/ELT) using BigQuery, Dataflow, and SQL to feed analytics and warehouses for business insights.
Design and scale high-performance ELT pipelines for a centralized data warehouse, ensuring data quality and performance while collaborating with cross-functional teams.
Builds and maintains ETL/ELT pipelines in a data lake, designs data mappings, and writes SQL for PPG’s analytics stack.
Build and scale cloud cost-tracking data pipelines using SQL, Python, and orchestration tools to enable FinOps transparency and optimization for enterprise clients.
Design and maintain scalable data pipelines for a global flavors and fragrances company, transforming raw data into business-ready datasets to power analytics and AI initiatives.
Build and maintain data pipelines, ETL processes, and cloud-based data platforms to transform raw data into clean, business-ready datasets for analytics and reporting.
Senior Data Engineer builds and scales ETL/ELT pipelines, optimizes Snowflake schemas, and implements DataOps workflows using Airflow/Prefect/Dagster in Python.
Design and scale a modern data platform, building production-grade ETL/ELT pipelines and optimizing Snowflake schemas with DataOps practices.
Senior Data Engineer builds and maintains scalable data pipelines and platforms to power analytics and AI products, using SQL, Python, cloud tools, and modern orchestration like Airflow.
Senior Data Engineer to migrate data from Snowflake on AWS to Azure Databricks and DBT using Lakebridge, building cloud infrastructure with Terraform and CI/CD pipelines.
Designs and migrates cloud data architectures between Azure and AWS, building scalable storage solutions and ETL pipelines using PostgreSQL, DynamoDB, and DBT.
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