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Senior Software Engineer-1.2 -Data Engineering (Bengaluru)

1.00 to 10.00 Years   Bangalore   17 Aug, 2026
Embitel Technologies
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryManufacturing
Functional AreaNot Mentioned
EmploymentTypeFull-time

Job Description

    Job Title: Data Engineer Group: E3 1.2 BU: CARIAD Business Unit India Location: Whitefield, Bangalore Experience: 3 - 6 Years Key Responsibilities - Data Processing & Engineering Build and optimize scalable ETL pipelines using PySpark & Databricks for large-scale automotive datasets; implement CI/CD pipelines for robust deployment. - Cloud & Big Data Work with Azure Data Lake, Synapse, ADF, and Databricks for data ingestion, transformation, and storage. - Analytics & Insights Perform statistical analysis, predictive modeling, and trend identification on vehicle test drive data, environmental parameters, and system KPIs. - Dashboard & Reporting Develop interactive dashboards with Elasticsearch, Power BI, KPI visualizations, and real-time analytics for engineering teams and stakeholders. - Collaboration & Documentation Partner with data scientists, vehicle engineers, and cross-functional stakeholders, ensuring transparent documentation of data pipelines and processes. Must-Have Skills - Data Engineering & Cloud : - PySpark, Databricks, Azure Data Lake, Azure Synapse, Azure Data Factory . - Proficiency in ETL pipeline design, optimization, and CI/CD implementation . - Analytics & Visualization : - Power BI , Elastic Search with expertise in KPI creation, Kibana and real-time reporting . - Ability to generate actionable insights from large-scale ADAS datasets . - Automotive Data Expertise : - Strong experience with vehicle trace data analysis (e.g., CAN, LIN, Ethernet). - Hands-on with CANoe or similar automotive tools for ECU communication protocol analysis. - Knowledge of ECU communication protocols (CAN, LIN, FlexRay, Ethernet) - Collaboration & Documentation : - Strong communication skills to work with cross-functional teams and document solutions effectively. Nice-to-Have Skills - AI/ML in ADAS domain : - Exposure to AI/ML model training, deployment, and performance monitoring . - Familiarity with Azure Machine Learning services . - Big Data & Streaming Analytics : - Knowledge of Kafka, Event Hubs, or real-time data streaming for automotive use cases. - Automation & DevOps : - Experience with CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins) for data workflows. Disclaimer: This job posting & Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying. .

Keyskills :
Power BIElastic SearchPySparkDatabricksAzure Data LakeAzure SynapseAzure Data FactoryETL pipeline designCICD implementation

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