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Data Engineer – Manufacturing Operations
Daimler Truck AGData Engineer responsible for building and managing data solutions in Azure cloud environment. Collaborating with business clients to extract insights from data and optimize data products.
Tech Stack
Tools & technologiesAzureCloudHadoopHBasePythonSparkSQLTableau
About the role
Key responsibilities & impact- Synthesizes business requirements and develops innovative analytics and BI solutions that meet customer requirements.
- Using automated tools to extract data from primary and secondary sources.
- Data Engineering to build pipelines.
- Exploratory Data Analysis to clean and improve the quality of the data.
- Using tools to identify, analyse, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction.
- Manipulates and analyses complex, high-volume, high-dimensional data using data analysis techniques.
- Works on data modelling, KPI development and insight generation.
- Develop visualization using excel, Power BI, Tableau for insight generation.
- Advanced visualization using DAX, Python programming.
- Ability to work on Snowflake platform, build scalable data pipeline and futuristic data architecture which helps in building ML models, dashboards for business users.
- Bachelors in IT/Computer Science.
Requirements
What you’ll need- Bachelors or Master’s degree in mathematics, Computer Science, Physics or Statistics.
- 4-7 years of experience in a consulting or client-facing environment.
- Good knowledge of database warehousing principles and tools.
- Proficiency in Azure Data Engineering concepts in Data integration, Data quality, building CI/CD pipeline & Data storage(ADLS)
- Minimum of 2-3 years of hands-on experience in Cloud technologies such as Azure Databricks, Spark, Blob Storage, Cool Blob Storage, Virtual Machine, Functions, SQL Data Warehouse.
- Ability to collect, organize, analyse, and disseminate large amounts of data with attention to detail and accuracy.
- Must be a self-starter/strong drive for results.
- Advanced knowledge of Business Intelligence and visualization tools Tableau and PowerBI.
- Advanced technical skills in Database and SQL
- Advanced knowledge in programming language Python
- Knowledge of big data technologies (Hadoop, Hive, HBase, Spark, etc.)
- Knowledge of agile development methodologies
- Proven working experience in data analysis.
- Adept at queries, writing reports, and making presentations.
- Team-working skills.
- Verbal and Written communication skills.
Benefits
Comp & perks- 🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Daimler Truck AG Website LinkedIn All Job Openings 10,000+ employees Founded 2021 🚗 Transport Automotive
- Transport
- Manufacturing Daimler Truck AG is one of the world's largest manufacturers of commercial vehicles. It has a global presence with over 40 production sites and more than 100,000 employees. Daimler Truck AG produces a wide range of products including light, medium, and heavy-duty trucks, city and intercity buses, coaches, and bus chassis. In addition to its vehicle manufacturing, Daimler Truck also offers tailored financial services to support its product offerings. The company is committed to innovation and sustainability, focusing on developing CO₂-neutral technologies and autonomous driving solutions. With a strong focus on digitalization and partnerships, Daimler Truck AG aims to enhance transportation through advanced technologies. Data Engineer – Manufacturing Operations Job not on LinkedIn 🔥 26 minutes ago 🏢 Bengaluru – Onsite ⏰ Full Time 🟡 Mid-level 🟠 Senior 🚰 Data Engineer Azure Cloud Hadoop HBase Python Spark SQL Tableau Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
- Synthesizes business requirements and develops innovative analytics and BI solutions that meet customer requirements.
- Using automated tools to extract data from primary and secondary sources.
- Data Engineering to build pipelines.
- Exploratory Data Analysis to clean and improve the quality of the data.
- Using tools to identify, analyse, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction.
- Manipulates and analyses complex, high-volume, high-dimensional data using data analysis techniques.
- Works on data modelling, KPI development and insight generation.
- Develop visualization using excel, Power BI, Tableau for insight generation.
- Advanced visualization using DAX, Python programming.
- Ability to work on Snowflake platform, build scalable data pipeline and futuristic data architecture which helps in building ML models, dashboards for business users.
- Bachelors in IT/Computer Science. 🎯 Requirements
- Bachelors or Master’s degree in mathematics, Computer Science, Physics or Statistics.
- 4-7 years of experience in a consulting or client-facing environment.
- Good knowledge of database warehousing principles and tools.
- Proficiency in Azure Data Engineering concepts in Data integration, Data quality, building CI/CD pipeline & Data storage(ADLS)
- Minimum of 2-3 years of hands-on experience in Cloud technologies such as Azure Databricks, Spark, Blob Storage, Cool Blob Storage, Virtual Machine, Functions, SQL Data Warehouse.
- Ability to collect, organize, analyse, and disseminate large amounts of data with attention to detail and accuracy.
- Must be a self-starter/strong drive for results.
- Advanced knowledge of Business Intelligence and visualization tools Tableau and PowerBI.
- Advanced technical skills in Database and SQL
- Advanced knowledge in programming language Python
- Knowledge of big data technologies (Hadoop, Hive, HBase, Spark, etc.)
- Knowledge of agile development methodologies
- Proven working experience in data analysis.
- Adept at queries, writing reports, and making presentations.
- Team-working skills.
- Verbal and Written communication skills. Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs Supply Chain Data Engineer 🕒 6 days ago HP France 1001 - 5000 👥 B2C 🏢 Enterprise 🔧 Hardware Website LinkedIn All Job Openings Data Engineer responsible for data collection procedures and analyzing data for machine learning models at HP. Collaborates with cross-department teams to design and establish data architectures for projects. 🏢 Bengaluru – Onsite ⏰ Full Time 🟡 Mid-level 🟠 Senior 🚰 Data Engineer Python SQL Data Engineer – Supply Chain 🕒 6 days ago HP France 1001 - 5000 👥 B2C 🏢 Enterprise 🔧 Hardware Website LinkedIn All Job Openings Data Engineer responsible for data collection and analysis for machine learning models at HP. Leading a project team to ensure data integrity and compliance in supply chain data processes. 🏢 Bengaluru – Onsite ⏰ Full Time 🟡 Mid-level 🟠 Senior 🚰 Data Engineer Python SQL AI, Data Engineering – Tech Lead III 🕒 6 days ago Carelon Global Solutions Philippines 5001 - 10000 Website LinkedIn All Job Openings Tech Lead III - AI driving scalable AI/ML solutions for Carelon, a healthcare solutions company. Focusing on optimizing claims processing and operational efficiency through AI technologies. 🏢 Bengaluru – Onsite ⏰ Full Time 🟠 Senior 🚰 Data Engineer AWS Azure Cloud Google Cloud Platform Jenkins Kubernetes Microservices Numpy Pandas Python PyTorch Rust Scikit-Learn Spark SQL Tensorflow Terraform Go Senior Data Engineer 🕒 6 days ago dentsu Austria 51 - 200 🤝 B2B 📱 Media 🏢 Enterprise Website LinkedIn All Job Openings Data Engineer supporting customer analytics and AI-enabled data platform on GCP. Focus on integrating Adobe Analytics with enterprise systems and building data transformation frameworks. 🏢 Bengaluru – Onsite ⏰ Full Time 🟠 Senior 🚰 Data Engineer BigQuery Cloud SQL Supply Chain, Data Engineer 🕒 6 days ago HP 10,000+ employees 🔧 Hardware 🛒 Retail 🛍️ eCommerce Website LinkedIn All Job Openings Data Engineer responsible for data collection and analysis for machine learning models. Ensuring data integrity and compliance through data cleansing and validation, leading project teams. 🏢 Bengaluru – Onsite 💰 $4.2G Post-IPO Equity on 2022-04 ⏰ Full Time 🟡 Mid-level 🟠 Senior 🚰 Data Engineer Python SQL View More Data Engineer Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Find jobs using your resume Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs
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Hard Skills & Tools
Data ModellingKPI DevelopmentData Analysis TechniquesSQLDAXData VisualizationData QualityCloud TechnologiesBig Data TechnologiesAgile Development Methodologies
Soft Skills
Attention to DetailSelf-StarterTeam-Working SkillsVerbal CommunicationWritten Communication