Pune, IN

Industrial IOT Engineer
Industrial Data Engineer
Pune, India
Who are we:
Antolin is a leading global automotive supplier, we are experts in designing, manufacturing, and supplying innovative solutions for vehicles around the world. Our product portfolio includes trim, headliners, and acoustic systems, as well as lighting and other interior systems. We offer comprehensive solutions with a focus on quality, safety, and sustainability. Our products are used in many of the world’s leading car brands, including JLR, BMW, Toyota, Volkswagen, Audi, Mercedes-Benz, and Ford.
Roles and responsibilities:
As an Industrial Data Engineer, you will be responsible for designing, developing, and implementing data pipelines and solutions that enable us to extract, transform, and analyse data from various industrial sources. You will work closely with engineers, scientists, and business stakeholders to understand their needs and deliver impactful solutions that improve efficiency, productivity, and decision-making.
Responsibilities:
- Design and build robust and scalable data pipelines to collect, cleanse, transform, and load data from various sources, including sensors, machines, databases, and cloud platforms.
- Develop and maintain data models, schemas, and metadata to ensure data quality and consistency.
- Implement data ingestion, processing, and storage solutions using technologies like Apache Kafka, Spark and cloud data warehouses.
- Develop and deploy data analytics applications using Python and JavaScript.
- Collaborate with data scientists and engineers to design and implement data quality control procedures.
- Develop and maintain documentation for data pipelines, models, and applications.
Qualifications / Skills:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 3+ years of experience as a Data Engineer or a similar role in an industrial setting.
- Proficiency in Python, SQL, and other data engineering tools.
- Experience with Grafana, PowerBI or other monitoring tools.
- Experience with data pipelines, data warehousing, and cloud computing platforms (Azure , AWS, GCP).
- Familiarity with industrial data sources, including sensors, PLCs, SCADA systems, NodeRED, KEPServer or other OPC-UA servers.
- Experience with machine learning and data analytics techniques is a plus.
- Excellent communication and collaboration skills.
- Passion for working with data and solving real-world problems.
What can we offer you:
- You will be part of a highly engaged multinational with international career opportunities.
- We offer you a learning journey adapted to your professional experience.
- You will work on international projects for world- renowned companies in Automotive sector.
- You can find an open Environment to learn new technologies.
- We can offer you a competitive salary & benefits.
Here at Antolin, we are an equal opportunity employer and value diversity in our workplace. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. All qualified applicants will receive consideration for employment without regard to any of these protected characteristics. We encourage applications from all individuals and strongly support diversity in our workplace. We strive to create an inclusive environment for everyone, and we are committed to treating everyone in a fair and equitable manner. We are proud to be an equal opportunity employer and are committed to fostering a diverse and inclusive work environment.
This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities. The Company reserves the right to revise the job description at any time. Duties, responsibilities or activities may change or new ones may be assigned at any time with or without notice. The employee must be able to perform the essential functions of the position satisfactorily. If requested, reasonable accommodations may be made to enable employees with disabilities to perform the essential functions of the job, absent undue hardship.
DREAM. DARE. DO
Job Segment:
Cloud, Industrial Engineer, Data Warehouse, Manufacturing Engineer, Computer Science, Technology, Engineering