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Build and maintain ELT pipelines, migrating legacy systems to modern data architectures using SQL, dbt, BigQuery, and Airflow.
Builds and maintains data pipelines, ensures data quality, and collaborates with teams to analyze data using Python, SQL, and Databricks for mobility-related infrastructure.
Design and implement ETL/ELT pipelines on Azure using Databricks, PySpark, and ADF to orchestrate data flows from relational and cloud systems.
Designs and builds scalable Data & AI solutions on Databricks, focusing on ETL/ELT pipelines, Python workflows, and Lakehouse architectures.
Lead Data Engineering, ETL/ELT, and Databricks-based cloud projects (GCP/Azure), building data pipelines with SQL, Python, and Spark for structured/unstructured data, integrating with CRM/marketing systems in Consumer Markets and Financial Services.
Data Engineer designing and developing ETL/ELT data pipelines for the banking sector, collaborating with multidisciplinary teams to ensure data quality and reliability in a hybrid setup.
Builds data pipelines, BI dashboards, and AI-enabled analytics to connect marketing spend to business outcomes for enterprise B2B clients.
Designs and governs the federal government’s data ecosystem, including enterprise data models, storage standards, and ETL/ELT pipelines to enable FAIR data and AI/ML at scale.
Designs and builds scalable Azure-based data pipelines and warehouses, then leads the team that maintains and optimizes them for analytics and reporting.
Builds and maintains data pipelines, data marts, and foundational data models using SQL and modern data stack tools to enable reliable reporting and analytics for a clinical research and health services organization.
Enterprise Applications Manager Location: Remote, United States About the Role We are seeking a highly technical and strategic Enterprise Applications Manager to join our CRM & Revenue Technology team within…
Is there a Zenika in you Let's talk skills and passion first. You're a data enthusiast who thrives on transforming complexity into clarity. With deep technical expertise in AWS and Databricks, you design…
The Practice Customer Engineer for Data Analytics at Google Cloud partners with sales teams to design data architectures, build prototypes, and drive technical adoption of Google Cloud's data analytics solutions. This role involves deep technical expertise in big data, cloud-native architecture, and customer-facing advocacy to solve complex analytics challenges.
Job Title: Data Platform Environment Specialist Company: AISIN World Corp. of America Department: DX Strategy and Innovation Location: Northville, MI or Seymour, IN Position Summary The Data Platform Environment…
Design, build, and optimize scalable ETL/ELT data pipelines and cloud-based infrastructure using AWS and Snowflake for government healthcare clients, modernizing legacy analytics systems in an Agile environment.
Designs and scales Honor’s AWS-native data platform to power analytics, AI, and operational decisions, using Redshift, Airflow, dbt, and Fivetran.
Databricks Expert bridging Data Science and Data Engineering, supporting customer Big Data projects with data acquisition, transformation, and loading into data lakes on cloud-native Azure/Databricks stacks.
The AI/ML Engineer will design, develop, and maintain scalable AI/ML pipelines and integrate models, including LLMs and Generative AI, into production environments. The role involves collaborating with data scientists and software engineers to optimize model performance and implement MLOps best practices using cloud platforms and containerization.
Summary of Position : Circle the City is a rapidly growing non-profit dedicated to providing high-quality, holistic healthcare to people experiencing homelessness in Maricopa County. The Executive Assistant will be…
The Data and AI Engineer will manage the company's data infrastructure by maintaining an AWS Redshift data warehouse and building AI-driven analytics tools. This role involves creating ETL pipelines and developing agentic workflows to provide actionable insights for stakeholders across the restaurant group.
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