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Architect and scale a modern data platform by designing ETL/ELT pipelines, optimizing Snowflake schemas, and implementing DataOps practices with Python, SQL, and workflow orchestration tools.
Design and scale a modern data platform, building ETL/ELT pipelines, optimizing Snowflake schemas, and enforcing DataOps practices with Python, SQL, and orchestration tools like Airflow.
Senior Data Engineer builds and scales a modern data platform, designing ETL/ELT pipelines and optimizing Snowflake schemas with Python, Airflow, and CI/CD.
Design and scale a modern data platform, building ETL/ELT pipelines, optimizing Snowflake schemas, and enforcing DataOps with CI/CD and orchestration tools like Airflow.
Senior Data Engineer builds and scales a modern data platform, designing ETL/ELT pipelines and optimizing Snowflake schemas with Airflow, Prefect, or Dagster.
Design and build scalable data pipelines using Snowflake, Airflow, and Python, ensuring robust ETL/ELT workflows and DataOps best practices.
Design and scale a modern data platform, building production-grade ETL/ELT pipelines, optimizing Snowflake schemas, and implementing DataOps practices with Airflow/Prefect/Dagster.
Design and scale a modern data platform, building ETL/ELT pipelines with Snowflake and Airflow while ensuring data quality and reliability.
Design and scale a modern data platform, building production-grade ETL/ELT pipelines and optimizing Snowflake data warehouses for reliability and accessibility.
Architect and build scalable data pipelines and Snowflake schemas using Python, Airflow/Prefer/Dagster, and CI/CD to power enterprise analytics in a modern data platform.
Build and maintain scalable ELT pipelines, optimize Snowflake data models, and orchestrate workflows in AWS to ensure reliable, high-performance data processing for analytics.
Lead a team to design and maintain scalable ETL pipelines and OLAP data architecture for a large-volume marketing analytics platform using AWS, Airflow, and Python.
Design and build cloud-native data pipelines and warehouses in Snowflake, DBT, Airflow, and Terraform to power analytics and AI for clients across finance, healthcare, gaming, and retail.
Design and build Prospera AI’s data infrastructure from scratch, including Snowflake warehouse, ETL pipelines with dbt/Airflow, and ML feature stores to power analytics and AI model training.
Build and maintain production-grade data pipelines and AI solutions for enterprise clients, using cloud platforms, orchestration tools, and modern data stacks like Snowflake, Databricks, and dbt.
Build and maintain ETL pipelines, data quality systems, and new data products using Python, SQL, Spark, and AWS tools to power Leadinfo’s B2B lead-gen platform.
Build and maintain scalable data pipelines and API-first services for ad-tech, using Python, Spark, Kafka, and cloud platforms to ingest, transform, and distribute audience data reliably.
Build and operate scalable data pipelines for ingestion, processing, and distribution in an ad-tech platform, using Python, Spark, Kafka, and cloud services.
Design and maintain a secure, scalable data platform for multimodal medical datasets, enabling AI training and real-time hospital workflows using open-source tools like Kubernetes, Terraform, and Dagster.
Lead the design and scaling of a healthcare data platform using Prefect, Python, and SQL, while mentoring engineers and supporting AI/ML initiatives.
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