Summary
The New York Power Authority is focused on transforming analytics with SAP technologies and Generative AI. They are seeking a Junior SAP SAC Integration Engineer to support the design and development of SAP Analytics models and dashboards, helping to integrate these with core business systems to enable data-driven decision-making.
Responsibilities
- Develop data solutions that are flexible, extensible, elastic, secure and reliable at large scale
- Work with Lead Data Engineer to provide guidance and direction to project teams ensuring compliance with coding standards and best practices
- Collaborate with Data Governance team to capture and manage meta data, and implement data quality rules
- Building and managing data pipelines, data products, integrations and promoting production
- Develop Application Integrations, APIs and Microservices using hybrid cloud architecture
- Continuously learn and be at the leading edge of Data/Application Integration, Cloud, Containerization, and other industry trends
- Work with stakeholders including product, data and business teams to assist with data-related technical issues and support their data infrastructure needs
- Follow Cyber security guidelines and polices to monitor the company's data security and privacy
- Build and maintain batch data pipelines for structured and semi-structured data
- Support ingestion and preprocessing of unstructured data
- Implement basic data quality validations (schema checks, null checks)
- Assist in preparing AI-ready datasets for analytics, AI/ML and GenAI use-cases
- Support implementation of data contracts through schema validation and data checks
Skills
- Bachelor of Science Degree in MIS or Computer Science/Engineering (or similar) is required
- Minimum of 2 years of Data Engineering experience
- Experience developing microservices, serverless components, or distributed data processing solutions
- Hands-on experience with at least one data integration, data pipelines or application integration platform
- Practical scripting or programming experience across languages applicable to data engineering workloads
- Practical experience in traditional and cloud data management components (MS SQL, RDS, Athena, or similar)
- Practical experience in metadata driven ingestion framework, building data pipelines and data sets
- Working-level familiarity with DevOps and Agile methodologies
- Strong analytical skills
- Practical understanding of cloud security policies and concepts
- Exposure to data governance and quality tools
- Experience with data integration, ETL/ELT orchestration, and application integration using APIs, messaging, or service-based architectures
- Basic understanding of AI/ML data requirements (training vs inference datasets), structured, semi-structured and unstructured data processing
- Exposure to streaming concepts, data parsing, text processing
- Familiarity with data quality and observability concepts
- Hands-on experience with SAP ERP
- A strong foundation in coding and scripting
- Cloud platform certification is preferred
Qualifications
Must Haves
- Bachelor of Science Degree in MIS or Computer Science/Engineering (or similar) is required
- Minimum of 2 years of Data Engineering experience
- Experience developing microservices, serverless components, or distributed data processing solutions
- Hands-on experience with at least one data integration, data pipelines or application integration platform
- Practical scripting or programming experience across languages applicable to data engineering workloads
- Practical experience in traditional and cloud data management components (MS SQL, RDS, Athena, or similar)
- Practical experience in metadata driven ingestion framework, building data pipelines and data sets
- Working-level familiarity with DevOps and Agile methodologies
- Strong analytical skills
- Practical understanding of cloud security policies and concepts
- Exposure to data governance and quality tools
- Experience with data integration, ETL/ELT orchestration, and application integration using APIs, messaging, or service-based architectures
- Basic understanding of AI/ML data requirements (training vs inference datasets), structured, semi-structured and unstructured data processing
- Exposure to streaming concepts, data parsing, text processing
- Familiarity with data quality and observability concepts
Nice to Haves
- Hands-on experience with SAP ERP
- A strong foundation in coding and scripting
- Cloud platform certification is preferred
Benefits
- The salary offered will be determined based on the successful candidates’ relevant experience, knowledge, skills, and abilities.
- The New York Power Authority and Canal Corporation believes that diversity, equity, and inclusion drive our success, and we encourage women, people of color, LGBTQIA+ individuals, people with disabilities, members of ethnic minorities, foreign-born residents and veterans to apply.
- As an equal opportunity employer, NYPA/Canals is committed to building inclusive, innovative work environments with employees who reflect communities across New York and enthusiastically serve them.
- We proudly celebrate diversity and do not discriminate based on race/color, creed/religion, national origin, citizenship or immigration status, age, disability, military status, gender/sex, sexual orientation, gender identity/expression, pregnancy and related conditions, familial/marital status, domestic violence victim status, predisposing genetic characteristics, arrest/criminal conviction record or any other category protected by law.
- NYPA/Canals will also provide reasonable accommodations during the hiring process related to candidates’ disabilities, pregnancy-related conditions, religious observances/practices and/or domestic violence concerns.
- To request an accommodation, please email accessibility@nypa.gov .