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Data Engineer - IoT Projects

3 - 7 years

0 Lacs

pune maharashtra

Posted:1 week ago| Platform: Shine logo

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Skills Required

sql postgresql python aws snowflake dbt kafka lambda cicd iot architectures

Work Mode

On-site

Job Type

Full Time

Job Description

As a Database DevOps and Management professional at Siemens, you will play a crucial role in designing and building complex data models. Your responsibilities will include being the administrator of a productive PostgreSQL database, facilitating data modelling and restructuring of both new and existing systems, as well as optimizing and scaling database performance. Additionally, you will be involved in the design and implementation of new functions such as data catalog and monitoring systems, along with the maintenance and implementation of DevOps solutions including versioning and CI/CD. For IoT Data Processing, you will be responsible for developing and maintaining data transformation scripts for cloud and on-premise solutions, implementing scalable IoT data processing pipelines, integrating new data sources, and ensuring data quality and monitoring. In terms of System Architecture & Development, you will be tasked with maintaining and optimizing AWS Lambda Functions, collaborating with external developers on connectivity solutions, and working on Data Engineering for Dashboard Development. Furthermore, your role will involve Data Governance & Quality tasks such as developing and maintaining a data quality solution in collaboration with central IT, implementing systems to monitor data quality and performance, and managing Data Archiving Processes to ensure data consistency and reliability. To excel in this role, you should possess strong knowledge of SQL and PostgreSQL, experience with Python, familiarity with AWS especially Lambda, CI/CD Pipeline Knowledge, an understanding of IoT architectures and data processing, and ideally knowledge of Snowflake & DBT, Kafka. Soft competences required include initiative and curiosity about IoT data environments, a strong interest in data automation, the ability to engage in technical discussions, and excellent communication skills with stakeholders. An independent working style is crucial for success in this position. At Siemens, you can expect a hybrid and flexible working model that promotes work-life balance, along with support for home office and the opportunity for volunteer work. Benefits include health insurance, access to on-site medical facilities, participation in sports groups, online learning platforms, discounts with partners, a shuttle bus for commuting, and financial support for studies. Siemens is dedicated to fostering a diverse environment and is proud to be an equal opportunity employer. We actively encourage applications from a diverse talent pool. If you are interested in this exciting opportunity, please attach your CV in English. #CreateABetterTomorrowWithUs #Siemens #PeopleAtSiemens,

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