Lead Data Engineer

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 roadmapRequired 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 engineersPreferred 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 (ref:hirist.tech)