thyssenkrupp
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Thane · On-site · 7-10 Yrs · Just now
Machinery Manufacturing · 10000+ Employees · Essen, Germany
How do you say "giant engineering and steel company" in German? Try ThyssenKrupp and pronounce it "TISS-in kroop." The company is one of the world's largest steel producers and operates worldwide in two business areas: Materials and Technologies. The first is composed of the company's steel (carbon and stainless steel) and materials services businesses. ThyssenKrupp's Technologies group consists of its elevators unit, marine systems, components technology (for the auto and engineering markets), and plant technology (construction and environmental services) segments. Although its combined interests range from elevators to shipbuilding, the company has historically relied primarily on the steel market.
Hiring: Engineering
What employees say
+ Very good experience. Learned a lot of things.
− There are no cons in the company
More reviews on the company profile.
Interview experience · Company Secretary
The process was slow as they kept profile on hold for 2 months. However, interview process during face to face visit was good/smooth and they were supportive to drop me to nearest bus stop as the factory is in outskirts.
Average difficulty · Bengaluru · 60 reports
More interview insightsJob description
Overview
Company presentation https://www.tkaccelis.com/
Qualifications
- Minimum 5 to 7+ years of professional experience in data engineering or closely related cloud data roles.
- Track record of delivering production-grade data pipelines and data products in Azure or similar cloud environments.
- Hands-on expertise with Microsoft Fabric, including Lakehouse, Warehouse, Pipelines, Notebooks, OneLake, and Dataflows.
- Strong programming and query skills in SQL, Python, and PySpark; KQL is an advantage.
- Solid experience with ELT/ETL design, medallion architecture, data modeling, data quality, and performance tuning.
- Practical knowledge of metadata management, lineage, cataloging, and enterprise data governance, ideally with Microsoft Purview.
- Good understanding of Azure platform fundamentals such as identity, storage, networking, and governance controls.
- Strong collaboration and communication skills with the ability to explain technical concepts clearly to business and technical stakeholders.
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Job application FAQ
Last updated 21 September 2026
- How do I apply for Data Engineer (Mumbai Location) at thyssenkrupp?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. thyssenkrupp may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Data Engineer (Mumbai Location) role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Data Engineer (Mumbai Location) remote or on-site in Thane, Maharashtra?
- This listing is marked on_site with location Thane, Maharashtra. Confirm details on the job description before applying.
- What skills matter for this Data Engineer (Mumbai Location) role at thyssenkrupp?
- This is a mid-level Data Engineer (Mumbai Location) role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.