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The Data Engineer will design, develop, and optimize scalable data pipelines using Databricks, Python, PySpark, SQL, and Azure Data Factory. The role involves collaborating with teams to ensure high-quality data solutions and managing data modeling and warehousing initiatives.
The Azure Data Platform Engineer will build and optimize scalable batch and streaming data pipelines using Azure Data Factory, Databricks, Python, and PySpark. The role involves managing event-driven architectures, ensuring data quality, and integrating AI models into enterprise systems.
Look for candidates with LLMs RAGs, Databricks and Snowflake and all questions will be Ai and Agentic tools. Requ-irements 1. Hands-on experience with Databricks (PySpark/SQL, Unity Catalog), DBT (models, tests,…
Backend Software Engineer II designing and maintaining high-throughput, low-latency distributed systems for Abnormal’s Federated Intelligence Platform, focusing on data ingestion, storage, and retrieval of threat indicators to power security detection and customer portals.
The Senior Data Engineer will build and maintain cloud-based data pipelines and Lakehouse architectures to support RTÉ's data-driven decision-making. The role involves working with Microsoft Fabric, SQL, and Python to deliver high-quality datasets while contributing to data governance and platform architecture.
The SAP Data Engineer will design and maintain data pipelines connecting SAP systems (ECC, S/4HANA, BW/4HANA) to cloud-based data platforms. The role involves building ETL/ELT architectures, optimizing data integration, and leveraging Python, SQL, and AWS cloud services to support enterprise reporting and analytics.
Middle Data Scientist at Sberbank's Wealth Management building classical ML models (recommendations, uplift, NLP) for B2C/B2B investment and insurance products using Python, SQL, PySpark, and CatBoost.
Arbor Academy is seeking an Azure Data Engineering Trainer to deliver classroom-based instruction on cloud data architecture, ETL workflows, and big data processing. The role involves mentoring students, conducting hands-on labs, and maintaining training content using technologies like Azure Data Factory, Databricks, and PySpark.
Data Engineer building scalable data pipelines and ETL workflows on-site in New Zealand, using Apache Airflow, Spark/PySpark/Scala, Databricks, Docker, and Advanced SQL.
The Data Engineer will design and maintain scalable ETL/ELT pipelines and data transformation workflows using Microsoft Fabric and PySpark. The role involves working with large-scale datasets to support enterprise analytics and business intelligence initiatives.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Scientist - Clearance Required based in the United States. This is a senior…
The Junior Data Engineer supports the development and maintenance of secure data pipelines, ETL/ELT workflows, and analytics-ready datasets for mission-critical environments. The role requires proficiency in Python, SQL, and big data platforms like Spark or Databricks while working on-site in a secure facility.
The Senior Data Engineer will design and build scalable data platforms, high-performance pipelines, and real-time ingestion frameworks using PySpark and Databricks on Azure and AWS.
The Senior Data Engineer will design and implement advanced data pipelines using Databricks, PySpark, and Python. This role requires 6-8 years of experience and involves working with Delta Lake and Lakehouse architectures in a client-facing, office-based environment in Singapore.
The Senior Data Engineer will design, build, and optimize scalable data pipelines using AWS, Databricks, PySpark, and Delta Lake. The role focuses on delivering robust data solutions for large-scale datasets within a professional services environment.
The Big Data Engineer will design, build, and optimize large-scale data processing systems, including data pipelines, data lakes, and streaming solutions. The role requires proficiency in PySpark and Scala to support enterprise-level batch and real-time analytics.
Build and maintain scalable data infrastructure on AWS and Kubernetes to process mobility data for pricing, operations, and analytics using Kafka, Snowflake, and Terraform.
Location: Charlotte, NC (Full time onsite) Job Description: Must Have Technical/Functional Skills Primary skills: Hadoop, Hive, Python, PySpark, Apache Kafka, Hadoop Ecosystem, Hive, Databricks Lakehouse Architecture,…
The Data Engineer will build and maintain data pipelines and ETL/ELT workflows while optimizing data models for analytics. The role involves working with Spark, AWS, and various data storage technologies to support the company's software supply chain security platform.
The Data and AI Engineer builds and maintains the data infrastructure, pipelines, and governance frameworks required for analytics and AI initiatives. The role also focuses on developing agentic AI and LLM-powered automation to replace manual workflows.
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