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Lead a team to design, build, and maintain scalable data pipelines and warehouses, ensuring reliable analytics and ML-ready datasets using SQL, Python, and cloud tools.
Senior Data Engineer builds and maintains scalable ETL/ELT pipelines on Azure Data Factory and Databricks, optimizing for cost, speed, and data quality.
Build and maintain scalable data pipelines for AI systems, including ETL/ELT, data quality checks, and warehouse/lake architectures using Python, SQL, and cloud tools.
Design and build data infrastructure—ETL pipelines, data warehouses, and streaming systems—using Python, SQL, and tools like Airflow, Spark, and Snowflake.
Build and maintain scalable data pipelines and infrastructure for analytics and AI/ML in healthcare, ensuring data quality and compliance while collaborating with cross-functional teams.
Build and maintain scalable data pipelines and infrastructure to power analytics and AI-driven decisions for a fast-growing delivery logistics platform.
Designs and maintains scalable data platforms and ETL/ELT pipelines for enterprise data warehouses using Spark, Kafka, and cloud services like BigQuery.
Build and maintain scalable data pipelines and infrastructure to power analytics and AI-driven decisions for a fast-growing delivery optimization platform.
Design and maintain scalable ETL/ELT pipelines and data platforms using cloud tools, SQL, Python/Scala/Java, and big data tech like Spark and Kafka.
Senior AI Engineer designs and deploys production-ready ML/LLM models, builds data pipelines, and mentors junior engineers for Devsinc’s client projects.
Build and own data pipelines and reporting systems using SQL and Google BigQuery to power commerce and supply chain decisions for a growing startup.
Build and maintain data pipelines, clean and transform raw data, and create dashboards to help teams make data-driven decisions using SQL, Python/R, and tools like Databricks and Tableau.
Design and build scalable ETL/ELT pipelines and data warehouses using BigQuery, Redshift, Synapse, Spark, Kafka, and dbt to power analytics and BI for enterprise clients.
Build and maintain scalable data pipelines and warehouses using SQL, Python, and cloud tools (AWS/GCP/Azure) to feed analytics and ML workloads.
Build and maintain scalable data pipelines and warehouses using Python, SQL, and cloud tools to feed analytics and ML systems.
Build and maintain analytics-ready datasets for machine learning and reporting using SQL and Python, ensuring data quality and enabling insights across industries.
Uproot Clean is seeking a Data & Automation Analyst to design, build, and maintain data pipelines, automate workflows, and improve system reliability across the business. This hands-on role focuses on turning messy…
Builds and maintains scalable data pipelines using GCP, BigQuery, and Airflow to move and transform data for analytics.
Builds and maintains a HealthTech web platform using Vue.js and Node.js, deploys services on GCP, and integrates AI APIs for medical document analysis.
Designs and maintains scalable data pipelines using BigQuery, Python, and Airflow to enable reliable, data-driven decisions in an Agile environment.
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