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Hudson River Trading (HRT) is seeking a People Analytics Lead to own the strategic direction and operational maturity of the People Analytics function, transforming it into an insights-driven strategic partner to the…
Build and maintain data pipelines, ETL/ELT workflows, and analytics platforms using Azure, Databricks, and Airflow to support AI, e-commerce, and BI solutions for enterprise clients.
Build and maintain scalable data pipelines, lakes, and warehouses in Azure, using Python, SQL, and IaC to enable analytics and reporting for clients.
Build and maintain a fintech data platform using Redshift, Airflow, and dbt, ingesting and transforming raw data into scalable analytics and supporting ML implementations.
Lead end-to-end data and AI engineering for production-grade GenAI/ML solutions, from data architecture and MLOps to LLMs, RAG, and prompt engineering, in a global consultancy.
Job Title: Data Warehouse Expert Engagement Type: Consultant – Project Management & Consulting (PMC) and Technical Support Project Phase: Phase 3 – Implementation, PMC, and Technical Support Reporting To: Project…
Design and maintain scalable data pipelines using Python, Spark, and cloud platforms to process and transform raw data into analytics-ready datasets.
Lead the build-out of scalable ETL/ELT pipelines and a governed data warehouse for an electric-air-taxi startup, ensuring auditable data lineage and clean access layers for engineering and commercial teams.
Leads Epic Cogito reporting, analytics, and BI solutions for a Texas healthcare client, building Clarity/Caboodle dashboards and SQL reports while collaborating with clinical and technical teams.
QA engineer validates ETL pipelines, backend databases, and cloud data platforms (AWS, Databricks, Redshift) using SQL and Python automation to ensure data integrity and accurate reporting.
Designs and maintains scalable data pipelines and ETL processes using Python, Spark, Kafka, and cloud data warehouses to support analytics and data-driven applications.
Design and implement AWS cloud solutions, migrate on-prem workloads to AWS, and lead cloud strategy for clients using services like S3, Redshift, Glue, and CloudFormation.
Build and optimize a scalable analytics platform using AWS, Spark, and SQL to enable self-service BI and advanced data modeling for KPIs and ML workloads.
Designs and implements secure, scalable data architectures for a digital bank, focusing on real-time analytics, cloud platforms, and regulatory compliance.
Builds and maintains Snowflake data warehouses and designs Tableau dashboards to turn raw data into business insights for clients.
Builds and maintains a data warehouse, ETL pipelines (Python/Prefect), and CI/CD workflows for SSRS/SSAS reports, while collaborating with business teams to improve analytics and reporting solutions using SQL Server, Tableau, and Python.
Designs and migrates legacy ETL pipelines to modern platforms, analyzing complex logic and guiding teams through large-scale data transformations.
Build and maintain ETL pipelines on Tencent Cloud using WeData and DLC with Spark, extracting and transforming data into a lakehouse for analytics.
Build and maintain scalable GCP data pipelines, BigQuery warehouses, and dbt models for analytics; optimize costs and performance while ensuring data quality.
Build and maintain full-stack web apps for government data platforms using React/Angular, Python, and cloud data tools.
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