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 22,700 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.
The Azure Databricks Data Engineer will be instrumental in building and maintaining an optimized data ecosystem using Azure Databricks. You will be responsible for developing and managing data pipelines, ensuring data quality, and enabling advanced analytics capabilities by building standardized Data Models. Your role will involve close collaboration with data scientists, analysts, and other stakeholders to deliver data-driven solutions that support the strategic goals of Bosch.
Responsibilities
Collaborate with internal Bosch team in the design, construction, installation, tests, and maintenance of highly scalable data management systems using Azure Databricks.
Develop data processing pipelines using Databricks Notebooks, Spark SQL, and other Databricks utilities.
Integrate Azure Databricks with other Azure services such as Azure Data Lake Storage, Azure SQL Data Warehouse, and Azure Cosmos DB.
Ensure optimal performance of data processing and extraction, transformation, and loading (ETL) processes.
Collaborate with data architects to implement effective data models and schemas within the Databricks environment.
Monitor data reliability, efficiency, and quality, and implement improvements as needed.
Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs.
Develop and maintain documentation related to data pipeline architecture, development processes, and data governance.
Stay current with industry trends and developments in cloud computing, big data, and Azure Databricks.
The following attributes are a plus:
Experience with machine learning frameworks and libraries.
Knowledge of additional big data tools and platforms.
Familiarity with data visualization tools and techniques.Qualifications:
Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or proved experience in a similar field.
Proven experience as a Data Engineer with a focus on Azure Databricks and related Azure services.
Strong programming skills in languages such as Python, Scala, or Java.
Experience with Apache Spark and its integration with Databricks.
Proficiency in SQL and experience with data modeling and data warehousing concepts.
Familiarity with DevOps practices and CI/CD pipelines.
Excellent analytical and problem-solving abilities.
Effective communication skills in English and Portuguese and the ability to work collaboratively in a team environment.
Bachelor of Engineering / Computer science
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