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Senior Analytics Engineer builds and maintains data pipelines, warehouses, and dashboards for GE Vernova’s Steam Data Lake, enabling analytics and GenAI use cases in the power business.
Build and maintain AI-native data pipelines that integrate manufacturing and development systems (MES, LIMS, QMS, ERP) to power analytics and AI models for biologic drug development at AbbVie.
Senior Data Engineer builds and maintains Talend-based ETL pipelines for Alberta’s environmental regulatory platform, integrating legacy systems with modern data platforms using SQL and Azure services.
Sr. Analyst - Process Analytics - Consumer and Marketing Ready to turn bold ideas into real-world impact? At Genpact, we don’t just adapt to change, we lead it. AI and digital innovation are transforming the way…
Build and maintain scalable data pipelines and ETL workflows using Python, PySpark, SQL, and cloud platforms like Databricks/Snowflake to feed an enterprise analytics platform.
Our Order Management System (OMS) sits at the heart of how we fulfill orders across eCommerce and in-store channels — processing millions of orders annually and growing. We're looking for a Quality Engineering who…
Lead Engineer, Integration Location: 1930 W Rio Salado Pkwy Tempe AZ 85281, HQ Remote - UT, HQ Remote - SC, HQ Remote - MI, HQ Remote - NJ, HQ Remote - OK, HQ Remote - LA, HQ Remote - AL, HQ Remote - VA, HQ Remote -…
Build and maintain scalable data pipelines and warehouses using BigQuery, dbt, Python, and GCP services to ensure reliable, high-quality data for analytics and reporting.
Maintains and secures reference data and security master records for financial markets data at S&P Global.
Build and maintain ETL pipelines, optimize cloud data solutions, and design reports in Azure for a healthcare-focused team.
Build and maintain ETL pipelines, reports, and cloud data solutions in Azure to ensure data integrity and availability for HR and healthcare systems.
Designs and maintains ETL/ELT pipelines in AWS (Glue, Lambda, Redshift) to move and transform data, plus supports ML environments and optimizes data warehouse performance.
Analyzes and improves client data contributions for financial services, managing projects to ensure data quality and compliance for products like Zelle and Paze.
Designs and maintains scalable data pipelines, warehouses, and ETL processes for secure, real-time analytics and reporting, using tools like Informatica, Spark, and Python.
Leads enterprise-wide AI data governance, setting policies and standards to ensure trusted, secure, and compliant data for AI/ML use while embedding governance into data pipelines and analytics platforms.
Maintains and optimizes PostgreSQL and MySQL databases in on-prem and AWS Aurora, ensuring high availability and performance for large-scale transaction systems.
Designs and builds cloud-native data pipelines on Azure, integrating big data tools like Spark and Databricks to feed analytics and ML models for enterprise clients.
Build and maintain data ingestion and transformation pipelines using AWS, S3, Redshift, PySpark, and SQL to process structured sources and files.
Leads enterprise-wide AI data governance and management, setting policies for data quality, privacy, and responsible AI use while collaborating with engineering, security, and compliance teams.
Design and maintain scalable data pipelines and infrastructure using Spark, Kafka, and cloud tools to process large datasets for enterprise clients.
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