Data Engineer (Mumbai Location)

ThyssenKrupp Presta AG; Thane; On-site; INR 300,000 - 600,000; Full time

Job summary

ThyssenKrupp Presta AG is seeking an experienced Data Engineer to design and optimize batch and streaming data pipelines using Microsoft Fabric workloads. You will implement data quality, lineage, and governance while partnering with architects, analysts, and application teams to deliver scalable analytics across domains.

The role requires 5–7+ years in data engineering, hands-on Azure fabric experience, and strong SQL/Python/PySpark skills to drive production-grade data products in regulated

Qualifications

• 5 to 7+ years of professional experience in data engineering.
• Proven track record delivering production-grade data pipelines and data products in Azure or similar cloud environments.
• Experience working in cross-functional teams using agile delivery practices.
• Experience with regulated, enterprise-scale, or multi-domain data environments is highly desirable.
• Hands-on expertise with Microsoft Fabric, including Lakehouse, Warehouse, Pipelines, Notebooks, OneLake, and Dataflows.

Responsibilities

• Design, build, and enhance batch and near-real-time data pipelines.
• Create reusable ingestion, transformation, and orchestration patterns for scalable analytics.
• Embed data quality checks, validation rules, metadata enrichment, and lineage capture.
• Collaborate with architects, analysts, scientists, and application teams to translate requirements into robust data solutions.
• Partner with governance and security teams to ensure data is classified, cataloged, and compliant.
• Optimize platform performance, reliability, and cost across storage, compute, and pipeline execution.
• Contribute to engineering standards, peer reviews, design documentation, and mentoring of team members.

Skills

Data pipelines

ETL/ELT design

Agile delivery

Cross-functional collaboration

Data quality

Metadata management

Data governance

Data modeling

Performance tuning

Cloud data platforms

Tools

Microsoft Fabric

Azure

Purview

SQL

Python

PySpark

KQL

Job description

https://www.tkaccelis.com/

• Design, build, and enhance batch and near-real-time data pipelines using Microsoft Fabric workloads such as Data Pipelines, Lakehouse, Warehouse, Notebooks, and OneLake.
• Create reusable ingestion, transformation, and orchestration patterns that support scalable analytics and AI consumption across business domains.
• Implement trusted data products by embedding data quality checks, validation rules, metadata enrichment, certification workflows, and lineage capture.
• Work closely with architects, analysts, scientists, and application teams to translate business requirements into robust, high-performing data solutions.
• Partner with governance and security teams to ensure data is appropriately classified, cataloged, protected, and compliant with enterprise standards.
• Optimize platform performance, reliability, and cost across storage, compute, and pipeline execution.
• Contribute to engineering standards, peer reviews, design documentation, and mentoring of less experienced team members.

• 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.
• Experience working in cross-functional teams using agile delivery practices.
• Experience with regulated, enterprise-scale, or multi-domain data environments is highly desirable.

• 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.