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Design and build cloud-based data pipelines and AI analytics platforms for clients, using tools like Snowflake, AWS Redshift, and Apache Airflow to ingest, process, and transform data at scale.
Leads design and delivery of cloud-based data platforms using AWS services like Redshift, Glue, and PySpark, ensuring scalable, secure data solutions for analytics and governance.
Build and maintain cloud-based clinical data pipelines for biopharma, ensuring compliant, high-quality data delivery to downstream teams using AWS/Azure, Python, and CDISC standards.
Build and maintain ETL pipelines using Python, PySpark, AWS Glue, Step Functions, and Lambda to process and transform data for reporting and analytics.
Build and maintain scalable data pipelines and cloud infrastructure using Python, SQL, Airflow, Snowflake, and BigQuery to power analytics and decision-making.
Designs and builds scalable big-data infrastructure and ETL pipelines using Python, Spark, and cloud services to support reporting and analytics.
Designs and maintains scalable data pipelines using Snowflake, dbt, Airflow, and AWS to power enterprise analytics platforms.
Build and maintain Snowflake data pipelines and warehouses that centralize fund data, automate reporting, and power client-facing analytics dashboards.
Build and maintain scalable data pipelines and cloud infrastructure on GCP/AWS/Azure to process large datasets, using Python, SQL, and big-data tools like Spark and Airflow.
Build and maintain AWS and Databricks data pipelines to support global supply-chain analytics, using PySpark, Glue, Lambda, S3, and Redshift.
Build and maintain data pipelines and warehouses to feed analytics and reporting for a pawnshop operator, using SQL, Python, and AWS services.
Build and scale the core backend platform that powers Axle Health’s AI-driven scheduling and workforce management software for in-home healthcare providers.
About Us Axle Health builds AI scheduling and workforce management software to empower in-home healthcare providers to deliver exceptional, personalized care right where patients feel most comfortable—at home. Some of…
Design and build modern data platforms on AWS, Azure, and GCP, including cloud data warehouses, streaming pipelines, and automation tooling for enterprise clients.
Principal Data Engineer designs and builds scalable cloud data pipelines and warehouses for T-Mobile’s ad-tech platform, using Snowflake, Databricks, and AWS services to power analytics and audience solutions.
Senior Data Engineer builds and maintains cloud data pipelines on AWS Redshift and GCP BigQuery using dbt, Airflow/Dagster, and Python/SQL to power Alma’s B2B data products.
Design and build cloud-based data pipelines and platforms for clients, using Snowflake/Databricks/BigQuery and orchestration tools like Airflow/dbt to enable AI and analytics.
Senior DevOps Engineer builds and maintains CI/CD pipelines, cloud infrastructure, and Kubernetes clusters for a talent-tech company, ensuring reliable and secure deployments.
Build and maintain data models and dashboards for a fast-growing e-commerce yarn retailer, ensuring consistent KPIs and enabling data-driven decisions across Finance, Product, and Tech.
Build and maintain scalable ELT pipelines for an EV charging data platform using Amazon Redshift and SQL, ensuring data accuracy and reliability.
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