Data Engineer Cloud Data Specialist – Cloud Data Aggregation

Pune - India

Monthly Salary: Not Disclosed

Posted on: 6 days ago

Vacancies: 1 Vacancy

Job Summary

Role	Data Engineer / Cloud Data Specialist Cloud Data Aggregation
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About the UNIT/ Unit Overview	Digital Product Engineering
Location	Pune
Experience:	More than 2 years
Number of openings	2
What awaits you/ Job Profile	Join BMWTechWorks India in the Digital Product Engineering cluster focusing on selecting and aggregating cloud data building AWS QuickSight dashboards and performing Jupyter-based analysis to derive actionable insights. Be part of a world-class engineering ecosystem at BMW shaping the future of mobility through data-driven decision making. Work with cutting-edge cloud analytics tools and contribute to dashboards that directly impact engineering outcomes. You will work within Unit Methods Data to transform source data into user-readable information enabling engineers to make data-driven decisions across CAE simulations Konstruktion and Methods Tools Product Data. Collaborate with data engineers data scientists and engineering teams to design robust data pipelines dashboards and exploratory analyses that accelerate vehicle development and optimization. Contribute to the modernization of data engineering practices cloud-native analytics and automation to improve time-to-insight and data quality.
What should you bring along	A solid IT/Data Science background with hands-on experience in data engineering and analytics. Proficiency in Python and SQL; strong ability to translate business/engineering questions into scalable data solutions. Practical experience with AWS (preferably including QuickSight) and data analysis in cloud environments. Familiarity with Jupyter notebooks for analysis; exposure to Terraform for infrastructure as code is a plus. Basic knowledge of machine learning and AI concepts; willingness to apply them to engineering data where relevant. Experience with PySpark is highly desirable; ability to work in a distributed data processing environment. Excellent communication skills in English; ability to collaborate across global teams.
Must have technical skill	Data extraction transformation and loading (ETL/ELT) in cloud environments; building and maintaining data pipelines. Strong Python programming for data analysis scripting and automation. Advanced SQL for complex data querying aggregation and reporting. Experience with AWS services related to data analytics (e.g. QuickSight S3 Glue) and basic AWS familiarity. Proficiency with Jupyter for reproducible analysis and sharing insights. Ability to process source data into user-readable information and create intuitive data products.
Good to have Technical skills	Terraform or other IaC experience to provision and manage cloud resources. PySpark or big data processing experience; familiarity with distributed computing concepts. Knowledge of data modeling data governance and data quality frameworks. Experience with PLM/PCM data or automotive engineering data workflows is a plus. Hands-on experience with BI tooling beyond QuickSight (e.g. other visualization or dashboarding tools). Familiarity with machine learning model lifecycle and simple ML workflows in analytics scenarios.

Required Experience:

RoleData Engineer / Cloud Data Specialist Cloud Data AggregationVisit our websiteto know more.Follow us onLinkedInIInstagramIFacebookIXfor the exciting updates.About the UNIT/ Unit OverviewDigital Product EngineeringLocationPuneExperience:More than 2 yearsNumber of openings2What awaits you/ Job Pro...

Role	Data Engineer / Cloud Data Specialist Cloud Data Aggregation
Visit our websiteto know more. Follow us onLinkedInIInstagramIFacebook IXfor the exciting updates.
About the UNIT/ Unit Overview	Digital Product Engineering
Location	Pune
Experience:	More than 2 years
Number of openings	2
What awaits you/ Job Profile	Join BMWTechWorks India in the Digital Product Engineering cluster focusing on selecting and aggregating cloud data building AWS QuickSight dashboards and performing Jupyter-based analysis to derive actionable insights. Be part of a world-class engineering ecosystem at BMW shaping the future of mobility through data-driven decision making. Work with cutting-edge cloud analytics tools and contribute to dashboards that directly impact engineering outcomes. You will work within Unit Methods Data to transform source data into user-readable information enabling engineers to make data-driven decisions across CAE simulations Konstruktion and Methods Tools Product Data. Collaborate with data engineers data scientists and engineering teams to design robust data pipelines dashboards and exploratory analyses that accelerate vehicle development and optimization. Contribute to the modernization of data engineering practices cloud-native analytics and automation to improve time-to-insight and data quality.
What should you bring along	A solid IT/Data Science background with hands-on experience in data engineering and analytics. Proficiency in Python and SQL; strong ability to translate business/engineering questions into scalable data solutions. Practical experience with AWS (preferably including QuickSight) and data analysis in cloud environments. Familiarity with Jupyter notebooks for analysis; exposure to Terraform for infrastructure as code is a plus. Basic knowledge of machine learning and AI concepts; willingness to apply them to engineering data where relevant. Experience with PySpark is highly desirable; ability to work in a distributed data processing environment. Excellent communication skills in English; ability to collaborate across global teams.
Must have technical skill	Data extraction transformation and loading (ETL/ELT) in cloud environments; building and maintaining data pipelines. Strong Python programming for data analysis scripting and automation. Advanced SQL for complex data querying aggregation and reporting. Experience with AWS services related to data analytics (e.g. QuickSight S3 Glue) and basic AWS familiarity. Proficiency with Jupyter for reproducible analysis and sharing insights. Ability to process source data into user-readable information and create intuitive data products.
Good to have Technical skills	Terraform or other IaC experience to provision and manage cloud resources. PySpark or big data processing experience; familiarity with distributed computing concepts. Knowledge of data modeling data governance and data quality frameworks. Experience with PLM/PCM data or automotive engineering data workflows is a plus. Hands-on experience with BI tooling beyond QuickSight (e.g. other visualization or dashboarding tools). Familiarity with machine learning model lifecycle and simple ML workflows in analytics scenarios.