Company Description
A leading global commercial vehicle manufacturer specializing in trucks and buses, with a strong presence across North America, Europe, and Asia. The company is recognized for its engineering excellence, strong brand portfolio, and focus on delivering reliable and efficient transportation solutions at scale.
- Location Bangalore
- Industry Automotive
- Experience Range 4-7 years
- Must-have Skills Azure Data Engineering, Azure Databricks, CI/CD pipelines, Data Pipelines (ETL/ELT), Power BI / Tableau, Python, Snowflake, Spark, SQL
Job Summary
The Data Engineer – Manufacturing Operations is responsible for designing, building, and deploying scalable data engineering and analytics solutions in enterprise cloud environments. The role focuses on building data pipelines, cloud-based data architecture, big data processing, business intelligence solutions, KPI reporting, and enabling data-driven decision-making for manufacturing and operational business functions.
Key Responsibilities
- Design, develop, and deploy scalable data engineering solutions in enterprise cloud environments.
- Build automated data pipelines for extracting data from multiple primary and secondary sources.
- Perform data engineering activities to create robust ETL/ELT workflows and pipeline automation.
- Conduct exploratory data analysis (EDA) to clean, validate, and improve data quality.
- Analyze large and complex datasets to identify patterns, trends, and business insights.
- Build data models and develop KPI frameworks to support decision-making processes.
- Design and manage reporting and visualization solutions using Power BI, Tableau, and Excel.
- Develop advanced visualizations and reporting logic using DAX and Python programming.
- Build scalable data architecture on Snowflake to support dashboards, analytics, and machine learning solutions.
- Work on Azure cloud technologies to build enterprise-grade data engineering platforms.
- Manage CI/CD pipelines for data integration and deployment automation.
- Support business users by building and managing data products and business intelligence solutions.
- Collaborate with stakeholders to understand business requirements and provide data-driven consulting solutions.
Required Skills & Experience
- 4–7 years of experience in Data Engineering or Analytics roles.
- Strong expertise in Azure Data Engineering concepts and cloud-based data solutions.
- Hands-on experience with Azure Databricks, Spark, Blob Storage, Cool Blob Storage, Virtual Machines, Functions, and SQL Data Warehouse.
- Strong experience building scalable ETL/ELT data pipelines and cloud data architecture.
- Experience with Snowflake platform and enterprise-scale data pipelines.
- Strong understanding of database warehousing principles and data modeling techniques.
- Advanced SQL and database management expertise.
- Strong programming skills in Python.
- Experience with Business Intelligence and visualization tools including Power BI and Tableau.
- Experience building CI/CD pipelines and deployment automation.
- Knowledge of Big Data technologies including Hadoop, Hive, HBase, and Spark.
- Experience in data analysis, reporting, and dashboard development.
- Strong understanding of cloud storage and data integration concepts such as ADLS.
- Proven experience working in consulting or client-facing environments.
Preferred Qualifications
- Bachelor’s or Master’s degree in Computer Science, Mathematics, Physics, Statistics, or related field.
- Experience working with machine learning data pipelines and analytics platforms.
- Familiarity with Agile development methodologies.
- Experience working on enterprise-scale manufacturing or operational analytics projects.
Other Requirements
- Strong analytical and problem-solving mindset.
- Ability to work independently and drive results proactively.
- Strong communication and presentation skills.
- Ability to collaborate effectively in team-driven environments.
