Job Description :

Key Responsibilities :

- Lead enterprise data engineering initiatives across cloud, SAP, and SAS ecosystems

- Design scalable and secure enterprise data platforms and integration frameworks

- Develop and optimize ETL/ELT pipelines for SAP, SAS, and enterprise applications

- Enable SAP data ingestion into cloud analytics and AI platforms

- Drive SAS modernization and migration strategies toward modern data platforms

- Build reusable data frameworks, ingestion standards, and engineering best practices

- Collaborate with business, SAP functional, analytics, and architecture teams

- Ensure high availability, reliability, observability, and optimization of data pipelines

- Establish governance, lineage, quality, and security controls across data platforms

- Mentor engineering teams and lead technical solution discussions

- Support enterprise analytics, reporting, AI/ML, and self-service BI initiatives

- Contribute to enterprise digital transformation and data modernization roadmap

Required Skills :

- 8+ years of experience in Data Engineering and Analytics Engineering

- Strong expertise in Python, SQL, Spark/PySpark

- Hands-on experience with cloud platforms Microsoft Azure

- Experience with modern data platforms like Databricks, Snowflake, and data lake/lakehouse architecture

- Strong experience in SAP Data Engineering and SAP data extraction frameworks

- Hands-on experience with SAP ECC, S/4HANA, BW/BW4HANA, SAP SLT, SAP CDS Views, or SAP Datasphere

- Experience integrating SAP data into enterprise cloud data platforms

- Strong SAS programming and SAS data engineering expertise

- Experience in SAS ETL, SAS DI Studio, SAS Base, SAS Macros, and migration/modernization from SAS to cloud platforms

- Expertise in ETL/ELT pipeline development and orchestration

- Experience with batch and streaming data pipelines

- Hands-on experience with orchestration tools such as Apache Airflow or Azure Data Factory

- Strong knowledge of data warehousing, dimensional modeling, and metadata management

- Experience with DevOps, CI/CD, and Git-based deployment practices

- Understanding of data governance, security, lineage, and quality controls

- Experience leading technical teams and mentoring engineers

Preferred Skills :

- Experience in manufacturing, steel, supply chain, or industrial domains

- Exposure to SAP functional domains such as Finance, Procurement, Supply Chain, Manufacturing, or Sales

- Experience in SAS modernization and migration to cloud-native platforms

- Understanding of Data Governance frameworks and DAMA principles

- Knowledge of real-time integration and event-driven architectures

- Experience with Apache Kafka or streaming platforms

- Exposure to ML Engineering, MLOps, and AI-ready data platforms

- Familiarity with APIs, microservices, and enterprise integration patterns

- Experience in Agile/Scrum and global delivery models

- Cloud and SAP certifications preferred