DTICI_T8_Data_engineer_Manufacturing_Operations
Daimler Truck AG (company site, opens in a new tab)4–7 yrsBengaluruHybridDirect career pageEst. 14–26 LPA
Posted on 16 Sept
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Job description
Structured overview of role & requirements
About This Role
- Build and manage data engineering solutions in Azure cloud environment, including scalable data pipelines and futuristic data architecture.
- Deliver business intelligence solutions by synthesizing requirements, performing data modeling, exploratory data analysis, and KPI visualization using tools like Power BI and Tableau.
- Consult with business clients to design controlled data-driven experiments and develop insights for decision-making from complex, high-volume datasets.
Minimum Requirements
- 4-7 years of experience in consulting or client-facing roles with data engineering and analytics.
- Bachelor's or Master's degree in IT, Computer Science, Mathematics, Physics, or Statistics.
- Hands-on experience (2-3 years) with Azure cloud technologies including Azure Databricks, Spark, Blob Storage, Virtual Machine, Functions, SQL Data Warehouse.
- Proficiency in data warehousing, Azure Data Engineering concepts (data integration, quality, CI/CD pipelines, ADLS), and advanced skills in SQL, Python, and BI tools (Tableau, PowerBI).
Ideal Candidate Profile
- Experienced in building and operating cloud-native data engineering solutions with Azure and modern data architectures (Snowflake, Databricks).
- Consulting or client-facing experience with ability to translate business requirements into technical analytics and reporting deliverables.
- Strong technical expertise in data modeling, visualization, and large-scale data manipulation to support machine learning models and advanced BI applications.