Data Engineer - Oracle

at  Bosch Group

Company Description
Welcome to a place where your ideas lead to something big. Welcome to Bosch. For over a decade, in the heart of Transylvania, the Bosch Cluj Plant has become a strategic hub for innovation and production, making a significant impact on the technological landscape in Romania.
Inspired by a passion for technology and electronic components, we have consistently evolved, solidifying our position as the most desired employer in Cluj for the engineering and business sectors. In our more than 10 years of activity, we have not only become one of the key automotive manufacturing facilities in our division but also one of the largest in Romania, supplying hundreds of millions of components to our customers and employing thousands of associates. Through our constant commitment to excellence in quality and innovation, we develop a diverse range of modern products for the mobility industry, focusing on delivering cutting-edge solutions to our international customers. The Bosch plant in Cluj plays a privileged role in the automotive industry. We take pride in the fact that our products serve as the “"brain"” for millions of vehicles worldwide.
We are dedicated to the dynamism and continuous adaptability demanded by the integration of new digital technologies, automation, and advanced data exchange, optimizing both production and logistics processes. We pay special attention to contributing to the development of our community, inspiring future generations, and impacting not only individuals directly but also the environment in which they will grow and thrive.
Our promise to our colleagues is rock-solid: we grow together, we enjoy our work, and inspire each other. Join us and see the difference.

WORK #LIKEABOSCH

Job Description

• Join our dynamic Manufacturing Data Technology & IT Systems team as a Manufacturing Data Pipeline and Architecture Developer, where you will play a crucial role in developing and optimizing manufacturing-related data pipelines and architecture.
• Take ownership of creating and maintaining robust data pipelines to facilitate data ingestion from diverse sources such as Oracle, MS SQL, and Hadoop.
• Collaborate with cross-functional teams to support the development and deployment of applications that leverage these data pipelines, enabling actionable insights for business stakeholders.
• Proactively identify opportunities for internal process improvements, including the automation of manual tasks, optimization of data delivery, and data cleansing/transformation.
• Engage and collaborate with various business functions, IT, engineering, and quality teams to ensure the success of data-driven initiatives.
• Monitor and fine-tune ETL performance to ensure optimal data processing and delivery.
• Embrace an Agile development approach, working collaboratively in teams to deliver high-quality solutions.

QUALIFICATIONS

• Minimum of 3 years of hands-on experience with Data Warehousing using Oracle.
• Proficiency in designing and developing data structures and ETL processes within an Oracle environment.
• Solid understanding of data warehouse concepts and architecture.
• Experience in automating processes using ETL tools or manual coding, including building procedures and orchestrating data workflows.
• Familiarity with project management and collaboration tools such as Jira or Azure DevOps, as well as version control systems like Git.

NICE TO HAVE SKILLS:

• Familiarity with Business Intelligence Tools such as Tableau or Power BI, enabling the creation of insightful visualizations and reports.
• Experience with ETL Tools such as ODI, Talend, or SSIS, enhancing your ability to streamline data integration processes.
• Previous experience in the manufacturing industry, providing valuable context for understanding manufacturing data and requirements.
• Knowledge of the Hadoop ecosystem, including Spark, Airflow, Hive, and Livy, expanding your capabilities in handling big data processing and analysis.
  Additional Information

Please refer the Job description for details