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Build and maintain scalable data pipelines using dbt, Snowflake, and Airflow to transform raw data into reliable analytics-ready models for downstream teams.
Design and scale a modern data platform, building production-grade ETL/ELT pipelines and optimizing Snowflake schemas for reliability and accessibility.
Design and scale a modern data platform using Python, Snowflake, and orchestration tools like Airflow to build reliable ETL/ELT pipelines and optimize data warehouses for enterprise analytics.
Build and maintain scalable data pipelines and warehouses for Walmart’s supply-chain analytics using Spark, Kafka, and cloud platforms like GCP/Azure.
Build and maintain scalable data pipelines and cloud-based data models to deliver actionable marketing insights using Python, SQL, Airflow, and dbt.
Build and maintain scalable data pipelines for marketing insights using SQL, Python, and tools like Airflow/dbt on AWS/GCP/Azure.
Senior Data Engineer builds and scales a modern data platform using Python, Snowflake, Airflow/Prefer/Dagster, and CI/CD for reliable ETL/ELT pipelines and DataOps.
Build and optimize cloud data pipelines and warehouses (Snowflake/BigQuery) to power AI-driven analytics and BI for global consumer brands.
Lead a team building and scaling an S3-backed data lake and OLAP pipelines for a marketing analytics platform using Airflow, Athena, and AWS EKS.
Build and maintain ETL/ELT pipelines in Azure Data Factory and Databricks, ingesting and transforming data into clean, analytics-ready datasets using PySpark, SQL, and cloud storage.
Senior Data Engineer builds and migrates data pipelines for a life-sciences CRM transition, using Databricks, AWS S3, dbt, and Airflow to move and transform Salesforce/Veeva data into a cloud data warehouse.
Senior Data Engineer to design, build, and optimize data pipelines and warehouses in Snowflake, migrating ~1,000 pipelines while using Talend, Kafka, and cloud platforms.
Build and maintain scalable data pipelines and APIs for a cybersecurity ratings platform using Scala, Spark, and AWS.
Senior Data Engineer builds and optimizes Snowflake-based data platforms using dbt, Airflow, and Data Vault 2.0 to power analytics and BI pipelines.
Lead a team building a marketing analytics platform, reviewing code, designing containerized Python/React apps via REST APIs, and integrating AI features into a data-heavy backend on AWS.
Senior Data Engineer builds and maintains scalable data pipelines on GCP, using Airflow, dbt, and BigQuery to create robust analytics platforms and drive data-driven decisions.
Senior Data Engineer builds and scales modern data pipelines, optimizes Snowflake warehouses, and implements DataOps practices using Python, Airflow/Prefect/Dagster, and CI/CD.
Lead a team to design and maintain large-scale ETL pipelines and OLAP data architecture on AWS, using S3 data lakes, Athena, Airflow, and Python, while enforcing code quality and guiding senior developers.
Senior Data Engineer builds ETL pipelines to migrate CRM data from Veeva Salesforce Life Sciences Cloud into a Databricks warehouse on AWS, using dbt and Airflow.
Designs and builds scalable data pipelines and lakes for finance teams, transforming raw financial records into actionable insights using SQL, Python, and GCP.
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