bangalore, India
Live, first seen by us 17 days agoWork setup in the employer’s posting: On-siteFrom the employer’s posting
Employment type in the employer’s posting: Full-timeFrom the employer’s posting
Ensure data quality, reliability, and governance across the data ecosystem.
Analyze structured and unstructured data to derive actionable insights and recommendations.
Design experiments, evaluate data performance, and continuously improve solution effectiveness.Apply advanced analytics techniques to support business decision-making.
Automate data collection, validation, and integration workflows. Ensure data quality, reliability, and governance across the data ecosystem. Interface with diverse enterprise data sources including databases, APIs, cloud platforms, files, streaming systems, and third-party applications.
Interface with diverse enterprise data sources including databases, APIs, cloud platforms, files, streaming systems, and third-party applications. Analyze structured and unstructured data to derive actionable insights and recommendations. Design experiments, evaluate data performance, and continuously improve solution effectiveness.Apply advanced analytics techniques to support business decision-making.
Analyze structured and unstructured data to derive actionable insights and recommendations. Design experiments, evaluate data performance, and continuously improve solution effectiveness.Apply advanced analytics techniques to support business decision-making. Data Visualization & Business Insights. Build intuitive dashboards and visualizations to communicate insights effectively.
Bachelor's Degree (BE/BTech) in Computer Science, Information Technology, Data Science, Engineering, Mathematics, Statistics, or a related field.
Master's Degree is an added advantage.
8+ years of experience in Data Science, Data Engineering, AI, or Analytics domains. Proven experience delivering end-to-end solutions from data acquisition
Qualifications: - Bachelor's Degree (BE/BTech) in Computer Science, Information Technology, Data Science, Engineering, Mathematics, Statistics, or a related field. - Master's Degree is an added advantage.
- Bachelor's Degree (BE/BTech) in Computer Science, Information Technology, Data Science, Engineering, Mathematics, Statistics, or a related field. - Master's Degree is an added advantage. - 8+ years of experience in Data Science, Data Engineering, AI, or Analytics domains. Proven experience delivering end-to-end solutions from data acquisition
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Day 17
Similar jobs usually come down between day 6 and day 54.
At Bosch Group, jobs usually come down by about day 18.
From 11,594 similar postings that came down, and 307 of Bosch Group’s. Coming down is not always a hire.
46 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- Data Science & Analytics, Machine Learning, Statistical Modeling, Predictive Analytics, Data Mining, Feature Engineering Model Evaluation and Optimization. - Programming & Development: Python (Mandatory), SQL (Mandatory) - Strong scripting and automation skills. REST APIs and system integrations, Version control systems (Git)Data Engineering, ETL/ELT Development, Data Pipeline Design, Data Warehousing Concepts, Workflow Automation, Structured and Unstructured Data Processing, Data Visualization, Power BI, Tableau, Looker, or equivalent platforms, Dashboard Development, Data Storytelling, Cloud & Infrastructure, Azure, AWS, or GCP, Docker, Kubernetes, CI/CD Concepts, Solution Deployment and Monitoring AI & Generative AI, Large Language Models (LLMs)Claude, OpenAI, and related AI platforms, Agentic AI Frameworks , Model Context Protocol (MCP), Prompt Engineering, RAG Architectures, AI Application Deployment.
- Data Analytics/Pyspark/Azure data bricks - Pipeline Design & Development: Build, monitor, and maintain robust, scalable batch and real-time ETL/ELT pipelines using PySpark, SQL, Delta Lake, and Auto Loader. - Data Governance & Security: Enforce data access policies, row/column-level security, and lineage tracking using Databricks Unity Catalog to protect PII and maintain compliance
- Deployment, Cloud & Infrastructure Deploy AI and analytics solutions across cloud and on-premises environments. - Design scalable solution architectures on Azure, AWS, GCP, or hybrid platforms. - Containerize applications using Docker.
- Programming & Development: Python (Mandatory), SQL (Mandatory) - Strong scripting and automation skills. REST APIs and system integrations, Version control systems (Git)Data Engineering, ETL/ELT Development, Data Pipeline Design, Data Warehousing Concepts, Workflow Automation, Structured and Unstructured Data Processing, Data Visualization, Power BI, Tableau, Looker, or equivalent platforms, Dashboard Development, Data Storytelling, Cloud & Infrastructure, Azure, AWS, or GCP, Docker, Kubernetes, CI/CD Concepts, Solution Deployment and Monitoring AI & Generative AI, Large Language Models (LLMs)Claude, OpenAI, and related AI platforms, Agentic AI Frameworks , Model Context Protocol (MCP), Prompt Engineering, RAG Architectures, AI Application Deployment. Qualifications:
Key Responsibilities: - Data Analytics/Pyspark/Azure data bricks - Pipeline Design & Development: Build, monitor, and maintain robust, scalable batch and real-time ETL/ELT pipelines using PySpark, SQL, Delta Lake, and Auto Loader.
- Data Governance & Security: Enforce data access policies, row/column-level security, and lineage tracking using Databricks Unity Catalog to protect PII and maintain compliance - Orchestration & Workflow Automation: Schedule and orchestrate multi-task jobs using Databricks Workflows (Lakeflow Jobs) or external schedulers (e.g., Apache Airflow, Azure Data Factory) - Data Quality Assurance: Define and integrate automated data quality rules, validation checks, and testing frameworks (e.g., Great Expectations, Delta Live Tables expectations) directly into pipelines
- Pipeline Design & Development: Build, monitor, and maintain robust, scalable batch and real-time ETL/ELT pipelines using PySpark, SQL, Delta Lake, and Auto Loader. - Data Governance & Security: Enforce data access policies, row/column-level security, and lineage tracking using Databricks Unity Catalog to protect PII and maintain compliance - Orchestration & Workflow Automation: Schedule and orchestrate multi-task jobs using Databricks Workflows (Lakeflow Jobs) or external schedulers (e.g., Apache Airflow, Azure Data Factory)
- Orchestration & Workflow Automation: Schedule and orchestrate multi-task jobs using Databricks Workflows (Lakeflow Jobs) or external schedulers (e.g., Apache Airflow, Azure Data Factory) - Data Quality Assurance: Define and integrate automated data quality rules, validation checks, and testing frameworks (e.g., Great Expectations, Delta Live Tables expectations) directly into pipelines - Big Data handling :Design and implement scalable data ingestion, transformation, and processing pipelines.
- Design scalable solution architectures on Azure, AWS, GCP, or hybrid platforms. - Containerize applications using Docker. - Collaborate with infrastructure and DevOps teams to ensure production-grade deployments.
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Yes. We’ve followed 4 other Senior Data Scientist – AI, Data Engineering & Intelligent Automation jobs there since October 2026. 2 came down, usually after about 0 days. 2 are still up.
Large employers often post one title for several teams, so these can be separate openings.
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job Description
Key Responsibilities:
Required Technical Skills:
Qualifications:
B.E
6 to 8 years
Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 27,000+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region.
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bangalore, India
- Deployment, Cloud & Infrastructure Deploy AI and analytics solutions across cloud and on-premises environments. - Design scalable solution architectures on Azure, AWS, GCP, or hybrid platforms. - Containerize applications using Docker.
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