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Architect scalable data processing and analytics solutions, drive architectural discussions, define blueprints and standards, and lead cross-functional teams delivering BI reporting and dashboards using EDW, data modeling, ETL/ELT, and cloud platforms (Azure/AWS/GCP).
Lead Data Platform projects on GCP, designing scalable data architectures, Data Warehouses, and Data Lakes while managing teams and stakeholders.
Data Engineer working on ETL/ELT pipelines, distributed data architectures and data stack modernization using SQL, Python, PySpark, Microsoft Fabric, Databricks and Azure Data Services.
Design, build, and optimize data pipelines and ETL/ELT processes across SAP and non-SAP sources, contributing to BI, analytics, AI, and cloud data platforms on a 12+ month contract.
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.
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