
Senior Data Engineer - MS Fabric
Bosch · Posted Oct 6
Mobility, industrial technology, consumer goods, and energy and building technology services
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About the role
Bosch's data team is looking for a skilled Senior Data Engineer with expertise in Databricks to design, build, and maintain scalable data pipelines and architectures supporting the organization's data-driven initiatives. The role works across the Microsoft Fabric and Azure data stack, including Azure Databricks, ADF, Delta Lake, SQL Data Warehouse, and Unity Catalog, to process large-scale datasets and enable advanced analytics. The engineer will also integrate and optimize Power BI data models and datasets, implement data governance and security practices, and build cloud-based data solutions.
What you will do
- 5-8 years of professional work experience in a relevant field
- Proficient in Microsoft Fabric platform, Azure Databricks, ADF, Delta Lake, SQL Data Warehouse, Unity Catalog.
- Good Experience on Microsoft Dynamics 365Experience/ prior knowledge on semi structure data and Structured Streaming, Azure synapse, data lake, data warehouse.
- Proficient in creating Azure Data Factory pipelines for ETL/ELT processing; copy activity, custom Azure development etc.
- Good knowledge of SQL and Python for data manipulation, transformation, and analysis
- Understand business requirements to set functional specifications for reporting applications
- Data Pipeline Development: Design, develop, and maintain robust, scalable data pipelines using Databricks, Apache Spark, and other cloud-based technologies.
- Data Integration: Ingest, transform, and integrate data from diverse sources, including APIs, databases, streaming platforms, and third-party systems, into Databricks for analytics and reporting.
- Power BI Integration: Develop and optimize data models and datasets in Databricks for use in Power BI, ensuring efficient data connections and high-quality visualizations.
- Performance Optimization: Optimize data workflows, API calls, and queries on Databricks and Power BI for performance, cost-efficiency, and scalability.
- Data Modeling: Build and maintain data models to support business requirements, ensuring data quality, consistency, and accessibility for analytics and reporting.
- Cloud Integration: Implement data solutions on cloud platforms (e.g., AWS, Azure, GCP) integrated with Databricks, Power BI, and API ecosystems.
- Security & Compliance: Implement data governance, security, and compliance best practices within Databricks, Power BI, and API environments.
Skills used in this role
What the employer is looking for
- Proficiency in Databricks, including Delta Lake, Spark SQL.
- Strong programming skills in Python, Scala, or Java.
- Experience with Apache Spark for big data processing.
- Knowledge of SQL for querying and transforming data.
- Proficiency in Power BI for creating data models, DAX queries, and interactive dashboards.
- BE/B.Tech or Equivalent Degree
- 2-5 Years
- Strong hands-on expertise in Python (or Java), NLP, RegEx, SpaCy, NLTK and DevOps
Preferred qualifications
- Databricks certification (e.g., Databricks Certified Data Engineer Associate/Professional).
- Experience with real-time data processing and streaming (e.g., Kafka, Spark Streaming).
Benefits and support
- Compensation and benefits are detailed in the job posting
About Bosch
The Bosch Group is a leading global supplier of technology and services, operating across mobility, industrial technology, consumer goods, and energy and building technology sectors. Driven by its purpose to create technology that is "Invented for life," the company leverages its expertise in hardware, software, and IoT to shape global trends such as automation, electrification, and artificial intelligence.
- Industry
- Automotive
- Company size
- 406225 employees
- Founded
- 1886
- Location
- Stuttgart, Germany
- Funding stage
- Private Company
Leadership
Chairman of the Board of Management
Deputy Chairman and Chief Financial Officer
Markus Heyn
Deputy Chairman and Chairman of Mobility
Frank Meyer
Member of the Board of Management
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