Senior Analytics Developer 2 PM - 10 PM IST Datasphere

Job Purpose

The SAP Analytics Developer will be responsible for overseeing data collection, storage, and management. Responsibilities will include designing, coding, testing, modifying, and implementing new or existing solutions within all areas of enterprise development using data integration technology and services. The individual will manage debugging issues that arise with the code, tooling, or architecture used to create the applications. The individual will interact with business partners to outline their requirements and, during the development phase, ensure the accuracy and delivery of those recorded requirements.

How You Make An Impact (Job Accountabilities)

• Data Management & Data Analysis
• HANA Modeling
• Datasphere Modeling
• Experience in creating and managing HANA views, CDS views
• Experience in S/4 HANA, Embedded Analytics, and Datasphere Integration
• Performing space, role management, and administration activities
• Connect SAC Planning models to S/4HANA and Datasphere (live and import connections).
• Define and build planning models (dimensions, hierarchies, and data structures).
• Experience in Databricks or similar data lakehouse platforms is preferred.
• Data Integration and Processing
• Develop Analytical models, views, Data Flows, and Replication Flows in Datasphere
• Develop and maintain pipelines for data integration, processing, and retrieval from various sources using SAP SLT, SDI, and Data Services technologies.
• Design, implement, and maintain efficient and secure databases. Ensure the integrity and performance of databases.
• Understanding how to leverage modern application architectural components (e.g. APIs, microservices, containers) to design modular, flexible solutions.
• Utilizing SAP Data Services to enable data extraction, transformation, and loading (ETL) from various sources into target systems, ensuring high data quality and consistency.
• Building OData integration for creating and consuming data APIs is a plus.
• Building SAP Gateway interface for seamless integration with various non-SAP applications and services is a plus.
• Innovation and Research
• Stay up to date with technology evolution and innovation.
• Keep abreast of the latest trends in data science and technology.
• Data Governance
• Participate in establishing data governance frameworks, ensuring data accuracy, accessibility, consistency, and security
• On-Call Support.
  
  

• Graduate (preferably Commerce / Science/Computers) Bachelor’s or Master’s degree in Data Science, Computer Science, Information Technology, or a related field.
• Datasphere Certification.
• 8 - 10 years of application design experience in various business function.
• Strong knowledge of database management, data processing, and data analysis techniques.
• Excellent analytical, problem-solving, and organizational skills.
• Ability to communicate complex data concepts clearly and effectively.
• Ability to work under general direction with minimal supervision.
• Ability to work both independently and on a team.
• Advanced collaboration skills.
• Willingness and ability to learn new languages and technologies quickly.
• Ability to effectively apply newly acquired knowledge to develop new skills.
• Proficient communication skills for effective dialogue with others.
• Demonstrate an analytical and systematic approach to work.
• Ability to effectively resolve conflict.
• Advanced analytical skills, attention to detail, troubleshooting skills and problem-solving skills.
• Proficient at creating entire, often complex, applications.
• Excellent written, verbal, and interpersonal communication skills.
• Continuous Delivery - understand and apply Agile, DevSecOps, and other approaches for iterative development of production-ready software.
• Technical Design - Quality - understand how to design and deliver software that meets expectations for performance, business impact and user experience.
• Integration and Data Architecture - understand data and integration architectures to manage, transform and exploit data across the enterprise.
• Security - understand security requirements and use the frameworks and tools available to meet those requirements.
• Engineering - understand how front-end, middleware and infrastructure components interact and how to design solutions that optimize for the environment.
• Learning Agility - adapt to new ways of working and apply proactive creative problem solving in unfamiliar situations.
• Commitment - champion delivery team processes and protocols and constantly strive for performance improvement.
• Collaboration – partner and influence effectively within and across delivery teams and with partner functions.
• Business Orientation and Engagement - understand business context and goals and tailor engagement to business need in order to achieve goals