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Lead a Data Platform engineering team at Cohere Health, driving execution of complex data initiatives, operational excellence, and evolution of the data platform using AWS, S3, Iceberg, Glue, Airflow, Spark/PySpark, and Athena.
Job: 3048794 Job Description: Title: Security Software Data Engineer I Location: Remote Duration: 12 months Role Overview As an Information Security Data Visualization Engineer, you will transform complex cybersecurity…
The Data Engineering Lead will design, develop, and maintain robust data pipelines and infrastructure. The role focuses on data governance, automated testing, and scalability using Snowflake, Databricks, and Spark.
The Data Engineer Supervisor designs and maintains robust data pipelines and infrastructure to ensure data integrity and scalability. The role requires expertise in data lakehouse technologies like Snowflake, Databricks, and Apache Spark.
Why Work at Lenovo We are Lenovo. We do what we say. We own what we do. We WOW our customers. Lenovo is a US$83 billion revenue global technology powerhouse, ranked 153 in the Fortune Global 500, and serving millions…
The Data Engineering Lead will manage a team to design and deliver scalable data pipelines using Spark on AWS EMR. The role focuses on architecture, governance, and mentoring engineers to build secure batch and streaming data solutions.
This role involves building scalable trading and research tools to support strategy orchestration, risk modeling, and data analysis. The engineer will work directly with traders and researchers using a diverse stack including Python, Java, React, and SQL.
The AI Solutions Engineer will design and deploy AI-driven features such as recommendation systems and knowledge bases for an e-learning platform. The role involves managing data pipelines, handling Docker/Git deployments, and ensuring AI applications meet security and compliance standards.
The Senior Data Engineer will troubleshoot and enhance BI and data warehouse workflows while designing scalable ETL processes. The role involves collaborating with cross-functional teams to ensure high data quality and effective data modeling.
This role involves leading a data engineering team to design and optimize Spark on AWS EMR pipelines for batch and streaming data. The position requires hands-on technical leadership, MLOps support, and the ability to build service components using React and Node.js.
The Data Engineer will design, develop, and maintain ETL pipelines and stored procedures to support banking applications and regulatory reporting. The role requires at least 5 years of experience in ETL development and a strong background in SQL within the financial services sector.
The Data Engineer will design, build, and maintain scalable data pipelines and cloud-based platforms on GCP to support retail business intelligence and analytics.
This role involves designing and building scalable data infrastructure and ETL pipelines to support analytics and GenAI/RAG applications for a business services client.
The Data Engineer will build and maintain scalable data infrastructure for quantitative trading, focusing on processing tick-level market data and ensuring high-quality data pipelines. The role involves working with Python, SQL, NoSQL, and financial data APIs to support research and trading workflows.
Data Platform Engineer supporting automated data pipelines, large-scale testing data validation for risk/reporting, and BI platform assistance — using Python, SQL, and Tableau in a public-sector data transformation programme.
The Data Engineer will design and maintain end-to-end data pipelines, infrastructure, and RAG solutions to support AI and analytics initiatives. The role involves working with structured, unstructured, and vector data within a large-scale corporate environment.
The Data Engineer will develop and maintain scalable data pipelines and data warehouse solutions to support business analytics and data quality. The role involves working with technologies like Python, SQL, Kafka, Spark, and various cloud-based data warehouse platforms.
This role focuses on L2 data operations, providing support for production data pipelines, ETL/ELT processes, and incident management. The position also involves data migration support, stakeholder communication, and maintaining data quality and governance standards using tools like Microsoft PowerBI.
The Data Engineer will design and maintain OCR-based ingestion and ETL pipelines to support an AI-driven candidate matching platform. The role involves working with vector embeddings, LLMs, and AWS cloud infrastructure to process and analyze CV and job description data.
Build and maintain data pipelines using Python and SQL to collect, clean, and transform data from various sources, supporting logistics and supply chain R&D with structured datasets for analytics and ML applications.
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