8 hadoop engineer jobs at 3 companies in Linden, MI
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Safety Field Investigations - Data Analyst
Warren, Michigan, United States
HybridFull Time
General MotorsNYSE: GM: Manufactures and sells automobiles and automotive parts globally.
5+ YOE5+ years analytical experience, bachelor’s in a related field (or equivalent), strong SQL/Databricks/Hadoop/Python skills, dashboarding with Tableau/Power BI, data pipeline and feature engineering experience, strong communication.
Ford Motor CompanyNYSE: F: Designs, manufactures, and sells cars, trucks, and SUVs.
5+ YOEBachelor's in Computer Science/Engineering or related and 5+ years experience. Requires SQL/RDBMS, BI and visualization (QlikView, BusinessObjects, Cognos), data warehousing/ETL (Teradata, Hadoop, Informatica), BigQuery, data governance and privacy (CCPA/GDPR).
GCP BigQuery, Informatica BDM/DEI, EDC, Data Privacy Management, SQL, RDBMS, QlikView, SAP BusinessObjects, Cognos, Teradata, Hadoop
Ford Motor CompanyNYSE: F: Ford manufactures, sells, and services vehicles and mobility solutions.
5+ YOEMaster's in a quantitative field, 5+ years in data science/data engineering with production ML deployments; strong Python and SQL skills; experience with Hadoop, Apache Spark, Kafka, MQTT, BigQuery, GCP, Gemini Enterprise, Vertex AI, ML frameworks, RESTful APIs, and monitoring tools.
Ford Motor CompanyNYSE: F: Designs, manufactures, and sells cars, trucks, and SUVs.
10+ YOEBachelor's degree in computer science, software engineering, or related technical field; 10+ years of software engineering experience; expertise in Java, Python, Angular, SQL, GCP, AI/LLMs, data pipelines, Agile, and Jira.
Java, Spring Boot, Python, Angular, React, SQL, Google Cloud Platform (GCP), Large Language Models (LLMs), Anthropic Claude, OpenCode, GPT, Retrieval-Augmented Generation (RAG), MCP Protocol, Jira, BigQuery, Cloud Composer, Dataflow, CloudSQL, GCS, Cloud Functions, Pub/Sub, Apache Spark, Hadoop, Kafka, Jenkins, Gradle, GitHub Actions, Test-Driven Development (TDD), Extreme Programming (XP)
Ford Motor CompanyNYSE: F: Ford manufactures, sells, and services vehicles and mobility solutions.
10+ YOEBachelor's degree in a technical discipline and 10+ years of software engineering experience. Requires Java, Python, Angular, SQL, GCP, AI/LLM integration, distributed data pipelines, Agile, and Jira experience.
Java, Spring Boot, Python, Angular, React, SQL, Google Cloud Platform (GCP), Large Language Models (LLMs), Generative AI, OpenCode, GPT, Retrieval-Augmented Generation (RAG), MCP Protocol, Jira, BigQuery, Cloud Composer, Dataflow, CloudSQL, GCS, Cloud Functions, Pub/Sub, Apache Spark, Hadoop, Kafka, Jenkins, Gradle, GitHub Actions, Test-Driven Development (TDD), Continuous Integration/Continuous Delivery, Unit Testing, Integration Testing, End-to-End Testing
Tech MahindraNational Stock Exchange of India: TECHM: Global provider of information technology and business process services.
5+ YOEBachelor's degree and 5+ years in data engineering or related work. Requires Python or Scala, advanced SQL, big data, cloud platforms, data modeling, ETL/ELT, communication, and analytical skills.
Google Cloud Platform (GCP), NoSQL, Kubernetes, Kafka, Apache Spark, Google BigQuery, Apache Hadoop, Java, Docker, Python, GitHub, Machine Learning, Scala, SQL, Flink, Amazon Web Services (AWS), Microsoft Azure, AWS Glue, Amazon S3, Amazon Redshift, Amazon Athena, Azure Data Factory, Databricks, Google Dataflow, Git
Ford Motor CompanyNYSE: F: Designs, manufactures, and sells cars, trucks, and SUVs.
4+ YOEBachelor's in engineering, CS, physics, mathematics or equivalent; 4+ years applying statistical methods; 3+ years with Python and SQL; experience with embedded controls, DSP, MATLAB/Simulink, C++, and prognostics model deployment.
Python, SQL, Spark, Hadoop, MATLAB, Simulink, C++, R, ATI, ETAS, Hardware-in-the-Loop (HIL), Digital Signal Processing (DSP)
General MotorsNYSE: GM: Manufactures and sells automobiles and automotive parts globally.
5+ YOEBachelor's in CS/Engineering/Mathematics, 5+ years in ML/data science, hands-on experience across ML lifecycle, cloud/MLOps experience, proficiency with listed programming languages/frameworks, strong communication and problem-solving.
Python, R, Java, PySpark, PyTorch, TensorFlow, Scikit-learn, LangChain, SQL, Databricks, Hadoop, Microsoft Azure, AWS, S3, SageMaker, Bedrock, Google Cloud Platform, BigQuery, Dataflow, AI Platform, MLflow, Docker, Kubernetes, GitHub, Jira, Tableau, Microsoft Power BI, Pandas, NumPy