Senior Data Engineer

Job Title Senior Data Engineer

Job Nature Full-time

Experience 6 to 8 years

About AMDC AI

The AMDC AI Team is a transversal Artificial Intelligence capability enabling business divisions to create measurable value through responsible, production-grade AI and data solutions. We support the full lifecycle of AI initiatives across Finance, HR, Supply Chain, Logistics, Manufacturing, and Operations, while owning technical delivery, quality, and risk controls.

Role Summary

As a Senior Data Engineer, you will design, build, and operate reliable data foundations that enable AI, analytics, and automation use cases across multiple business domains. You will play a key role in ensuring data is available, trustworthy, and scalable for production-grade AI solutions.

Key Responsibilities

• Design and develop end-to-end data pipelines
• Ingest and transform data from enterprise and operational systems, including ERPs (e.g. SAP)
• Ensure data quality, reliability, and monitoring
• Support AI and analytics use cases with fit-for-purpose datasets
• Collaborate with data scientists, software engineers, and architects
• Support maintenance, improvements, and optimization of data platforms

Required Skills & Experience

Technical Skills

• Strong experience in data engineering and data pipelines
• Proficiency in Python and SQL
• Experience with data modeling and transformation
• Familiarity with ETL / ELT patterns
• Understanding of data quality and reliability practices
• Experience building and operating data solutions in cloud environments

Professional Experience

• Min 6 years of experience as a Data Engineer
• Proven experience working on production-grade data systems
• Experience in cross-functional teams with both technical and non-technical stakeholders
• Comfortable working across multiple projects and domains

Nice to Have

• Experience ingesting data from ERPs (e.g. SAP) is a strong plus
• Experience with Microsoft Fabric and PowerBI
• Experience supporting AI or machine learning use cases
• Familiarity with CI/CD practices for data pipelines

Academic Background and Qualifications

Bachelors or masters degree in computer science, Engineering, (BE / ME Computer Science, Computer Science or IT , MCA).

Work Location Hyderabad

Time Zone Selected candidate is required to work as per:

India Time (IST) / European Time (CET/GMT) / Americas Time Zone (EST)