In India, Bosch is a leading supplier of technology and services in the areas of Mobility Solutions, Industrial Technology, Consumer Goods, and Energy and Building Technology. Additionally, Bosch has in India the largest development center outside Germany, for end to end engineering and technology solutions. The Bosch Group operates in India through twelve companies.  Bosch set-up its manufacturing operation in 1951, which has grown over the years to include 18 manufacturing sites, and seven development and application centers. Bosch Group in India employs over 31,000 associates and generated consolidated revenue of about ₨.21,450 crores* (2.66 billion euros) in 2018 of which ₨. 15,824 crores*(1.96 billion euros) from third party. The Group in India has close to 18,000 research and development associates.

In India, Bosch Limited is the flagship company of the Bosch Group. It earned revenue of over ₨. 12,460 crores (1.54 billion euros) in 2018. Additional information can be accessed at www.bosch.in.

We at Bidadi have adopted the IATF 16949. Based on the input from our excellence journey we have designed processes management system. Process management is the unrelenting focus to create and to deliver value to the customer. 

To become a Global Manufacturing hub and be an indispensable player in the International Production Network, the Leadership at Bidadi Plant focuses on Lean & Flat Organization  which will constantly strive for Supply Chain Excellence. At Bidadi, the focus is on Agile organization Model with transparent collaborative approach.

Job purpose / Objective

The purpose of the role is to design, develop, and maintain the data architecture and infrastructure within an organization to enable efficient and effective data processing, storage, and retrieval.Manage the data pipeline and ensure that data is collected, transformed, and made available for analysis and decision-making.

Primary Responsibility

1. Area : Data Pipeline Development

Key activities:

Design, develop, and maintain data pipelines to extract, transform, and load (ETL) data from various sources into data warehouses or data lakes.

Key Result Areas / Indicators : Connectivity percentage

2. Area : Data Modeling and Quality Assurance

Key activities:

Create and optimize data models that define data structures, relationships, and data transformation processes. Implement data quality checks and validation processes to ensure data accuracy and reliability.

Key Result Areas / Indicators : Data quality 100%

3. Area : Data Integration, Scripting and Automation

Key activities:  Integrate data from multiple sources, ensuring consistency, accuracy, and timeliness. Write scripts and use automation tools to streamline data engineering processes.

Key Result Areas / Indicators : Data availability 100%

4. Area : ETL Processes and Database Management

Key activities:

Develop and manage ETL processes to automate data movement and transformation tasks. Manage and optimize databases, including backups, indexing, and performance tuning.

Key Result Areas / Indicators : Data security

5. Area : Collaboration

Key activities:

• Work closely with data scientists, analysts, and business stakeholders to understand their data needs and provide data support.

Key Result areas/Indicators:

No. of usecases

Education

• Bachelor degree in Computer Science or equivalent
• Data Science Program (desirable)

Experience

• Min 3 years of Experience in Data management within the area of software development rollout and maintenance.
• Min 2 Years of specific experience with data pipeline development, monitoring and maintenance.

Knowledge on Cloud technologies preferred. 

Basic Knowledge on IIoT, hardware architecture, SDLC etc.