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Data analyst
Analyzes large datasets using Python and SQL to optimize auto-loan processes, runs A/B tests, and builds data pipelines on Hadoop/Spark.
Data Engineer (Databricks and AWS)
Senior Data Engineer builds and optimizes healthcare data pipelines on AWS and Databricks using Python and Spark to power critical national services.
Data Engineer
Build and maintain real-time data pipelines using Debezium, Kafka, Spark, NiFi, and Iceberg to move and process data across Bronze, Silver, and Gold layers in a Lakehouse architecture.
Azure Data Engineer
Build and maintain scalable Azure data pipelines using Data Factory, Databricks, PySpark, and ADLS Gen2 to process and transform large datasets for analytics and reporting.
Senior Data Analytics Engineer - Bewertung & Unterstützung / Metadatenmanagement (a*)
Job Description Was du bewegst\n \n \n Zu deinen Hauptaufgaben gehört die Entwicklung, der Betrieb und die Optimierung komplexer Datenpipelines und Datenprodukte – von der Datenerfassung bis zur analytischen Nutzung.…
Cloud Data Engineer - Databricks (all genders)
Build and maintain scalable data platforms on Databricks, integrating data warehouses, lakes, and modern analytics pipelines while leading cloud data engineering projects.
Data Engineer (Databricks) (Remote)
Builds and maintains Databricks Lakehouse data pipelines and AI foundations for clients, designing medallion architectures, Delta Lake tables, and Unity Catalog governance to power analytics and AI-enabled products.
Data Engineer
Build and maintain large-scale data pipelines and lakes on AWS Databricks, integrating diverse sources and ensuring data quality for risk-intelligence products.
Data Analytics Engineer
Build and maintain scalable data pipelines and analytics solutions for RTX’s enterprise services, integrating diverse data sources and supporting AI/ML initiatives with Python, SQL, and PySpark.
Data Analyst, Retail Media (Remote)
Analyze retail media performance metrics (ROAS, ad spend, churn) using SQL and Python to optimize advertiser and retailer outcomes, build dashboards, and support product decisions.
Data Analyst, Search Optimization (Remote)
Analyze and optimize ecommerce search visibility and traffic from external sources using SQL, Python, and SEO/GEO APIs to improve organic and AI-driven discovery.
Backend Engineer, Experiments (Remote)
Builds and maintains backend services for A/B testing and experiment analytics in Python, using FastAPI, PostgreSQL, and AWS to power scalable, data-heavy experimentation platforms for ecommerce clients.
Lead Data Engineer
Lead a team of 10+ engineers to build and scale cloud-based ETL, analytics, and data pipelines using PySpark, Databricks, and Azure, aligning solutions to CIBC’s product roadmap and governance standards.
Data Engineer
Build and maintain scalable data pipelines on Databricks using Spark/PySpark to power analytics, reporting, and risk systems for a large North American bank.
AWS DATA ENGINEER & ETL EXPERT ( FREELANCE REMOTE )
Build and maintain AWS-based ETL pipelines that ingest Salesforce data into a Parquet-backed enterprise data lake, optimize Athena queries, and manage Redshift/Glue infrastructure using Terraform.
Data Scientist
Builds and deploys ML models (regression, clustering, classification) on large datasets using Azure Databricks and PySpark to generate business insights and product features for Zebra’s smart solutions.
Data Scientist
Senior Data Scientist builds and optimizes scalable ETL pipelines with PySpark and Databricks, designs ML models for retail demand forecasting, and collaborates with stakeholders to deploy production-grade forecasting systems.
Senior Manager, Data Science
Lead a team of data scientists to build ML models and real-time analytics for IoT and supply-chain solutions, using Databricks and forecasting techniques to optimize Zebra’s products and customer outcomes.
Big Data Engineer
Builds and maintains GCP-based data pipelines, optimizes BigQuery SQL models, and processes data with Python, Hive, and PySpark.
Data Engineer
Design and build cloud-based data pipelines and ETL workflows on AWS to ingest, process, and transform data for analytics and reporting in a national security consultancy.