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Design and build AI-powered data pipelines and automated frameworks on Azure to drive real estate analytics and business outcomes.
Transform data architecture as a Data Engineer with a focus on Azure and Databricks. Collaborate in a hybrid environment to support robust data-driven applications. In this dynamic role, you will partake in crafting…
Build and optimize LLM-powered AI assistants for a bank’s customer service channels, integrating models like GPT and Llama with internal APIs and RAG architectures.
Analyzes large datasets using Python and SQL to optimize auto-loan processes, runs A/B tests, and builds data pipelines on Hadoop/Spark.
Kenvue is currently recruiting for a: Manager - Data Engineering KDP What we do At Kenvue, we realize the extraordinary power of everyday care. Built on over a century of heritage and rooted in science, we’re the house…
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.…
Build and maintain scalable data platforms on Databricks, integrating data warehouses, lakes, and modern analytics pipelines while leading cloud data engineering projects.
Build and maintain scalable data pipelines on Databricks using Spark/PySpark to power analytics, reporting, and risk systems for a large North American bank.
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.
Build and operate a cloud data platform on AWS and Databricks, owning Terraform IaC, Kubernetes deployments, and Spark streaming pipelines to power analytics and AI products.
Build and maintain large-scale data pipelines and cloud-native analytics platforms using Python, PySpark, SQL, Databricks, and Snowflake to support investment management operations.
Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging…
Designs and oversees TaskUs’s cloud-based data platform, choosing compute engines, open-table formats, and tiered storage to keep analytics fast, secure, and cost-efficient for high-concurrency users.
Builds ML models to predict and reduce customer churn for Warner Bros. Discovery’s streaming services using Python, SQL, and PySpark.
Build and maintain scalable AWS data pipelines using Python, Spark, and Glue to ingest and process financial data for enterprise decision-making.
Build and maintain cloud-based data pipelines for life-sciences analytics using Python, PySpark, and AWS, ensuring data quality and FAIR principles to power medical and sales insights.
Build cloud-native data pipelines and real-time streaming systems to power AI-driven denim production, supply-chain analytics, and global fashion retail dashboards using Python, SQL, Kafka, and Spark.
Lead hands-on engineering of an Azure Databricks platform, optimizing Serverless compute, FinOps controls, and migrating POSIT/RStudio workloads to Databricks.
Leads AI and data-science projects for clients, building GenAI/Agentic AI and analytics solutions with Python, cloud platforms, and modern ML techniques.
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