Drive impactful data solutions as a Data Engineer with a focus on Google Cloud Platform. Specializing in BigQuery and PySpark, your role will optimize data pipelines for enhanced efficiency. We need a talented Data Engineer proficient in Google Cloud Platform, particularly in
Candidate will be working CST time zone. We are seeking a highly experienced Senior Data Engineer with deep expertise in Snowflake Data Platform, Enterprise Databases, Data Warehousing, and Database Performance Optimization . The ideal candidate will bring a strong foundation
We are seeking a highly skilled Data Engineer with expertise in Google Cloud Platform (GCP) , particularly BigQuery, PySpark, and Dataflow , to design, build, and optimize scalable data pipelines. The role involves working closely with analytics, product, and
Platform & Production Operations Engineer About Smart Access Smart Access is the AI execution layer for supply chains. Were a Frontline Execution Platform that helps the worlds largest warehouses, manufacturers, and logistics operations close the gap between
Experience Level: Expert (15+ years or niche expertise) Role Description We are looking for a Senior Software Developer to support the Cyber Security portfolio within Cyber Data Risk & Resilience (CDRR). The consultant will contribute to the
Become a Lead Automation Engineer leveraging C# and Python to transform enterprise platforms. Oversee large-scale migration from WinBatch to C#.NET while ensuring compliance and consistent coding standards. In this role, you will utilize your 12+ years of
Key Responsibilities 1. Consent & Data Analysis Perform end-to-end analysis of consent data lifecycle—from collection to transformation and consumption. Analyze large datasets using SQL to identify trends, anomalies, and compliance gaps. Conduct data profiling to assess data quality, completeness, and usability
Role: Snowflake Senior Technical LeadSection Title: Job SummaryJob SummaryResponsibilities of Role (List in order of priority, first few bullets should be the most important):Design and Build Data Pipelines: Develop, automate, and maintain scalable data pipelines to bring together