QUALIFICATIONS
- Bachelor’s or Master’s degree in information technology from an accredited college/university
- 3+ years of work experience in managing, supporting & engineering of Business Intelligence/Analytical tools like SAP HANA Cloud, SAP Analytics Cloud, SAP Datasphere, Cloud Analytical Products offered by AWS/Azure
- Strong expertise working with HANA Database Cloud, Datawarehouse on HANA, HANA Administration, Performance Tuning, Data Tiering & Memory Management, HANA Cloud workload management, Identification of Long running queries and remediation, HANA Cloud parameters
- Strong expertise working with SAP Analytics Cloud (SAC) - Row/Column level Security, Folder Structuring, Performance tuning, best practices, Mobile App, Integration with SAP HANA/Third party applications. Expertise in AWS/Azure Cloud Architectural concepts like Networking, Security, Databases (Relational and/or NoSQL), Operating Systems (Unix, Linux, and/or Windows), Storage
- Strong Working knowledge with Cloud (AWS/Azure) Analytical Products – AWS (S3, CLI, Athena, Glue, RDS, DynamoDB, Aurora, SageMaker etc.), Azure (DataFactory, SQL, Synapse, Blob Storage, etc.), Data Bricks
- Working knowledge with Open-Source Tooling (Jupyter, RStudio, Kedro, Docker, Kubernetes, CI/CD tools etc.)
- Good Understanding of working in SAP Business Technology Platform (BTP) formerly known as SAP Cloud Platform - User Management, Security, CICD services, Cloud Foundry and Kyma runtime, SSO configuration
- Good Understanding of SAP ODATA/UI5/FIORI development and its security
- Understanding programming languages: Java, Python, Shell-scripting
- Understanding of Data Visualization Tools like Tableau, Power BI, KNIME. Understanding of RDBMS systems, PostgreSQL, MongoDB, PL/SQL, ETL, Business Intelligence, and Data Analytics
- Relevant SAP, AWS, Azure certifications would be a big plus point
- Strong problem solving and troubleshooting skills
- Distinct quality mindset and service attitude, strong zero defect & DevOps mindset
- Good understanding of Agile /Scrum framework
- The ability to work both independently and in project teams in a remote team environment and communicate complex ideas effectively through both written and verbal
WHO YOU'LL WORK WITH
You’ll join our office as part of the Managed Cloud Services (MCS) group under Secure Foundation. It is an entity within McKinsey's global IT organization that provides IT support services primarily to McKinsey Firm members and clients. The team is responsible for managing the Firm’s global IT infrastructure and applications.
You'll be part of the Data & Analytics Platform Team within SF-MCS, which provides Operations & Engineering services for McKinsey’s business operations, and architects solutions primarily around Business Intelligence (BI) and Analytics platforms in a heterogeneous, distributed environment spanning different domains, data centers, and clouds. In addition to technical skills, an engineer is expected to have other essential skills, including negotiation, critical thinking, problem-solving, process orientation, and business acumen. Operational and Engineering IT services are provided from Gurugram, India; the USA; and San José, Costa Rica. Additionally, Operational Engineering teams are in Gurugram, India; Prague, Czech Republic; and Düsseldorf, Germany. You'll be working out of the Gurugram, India office.
WHAT YOU'LL DO
You'll provide 24/5 plus weekend on call support, for the BI/Analytics Landscape, which includes SAP HANA Cloud, SAP Analytics Cloud (SAC), SAP Business Technology Platform (BTP), Cloud Analytical Products, and supports the Firm’s technology workbench based on AWS/Azure Analytical Products.
You'll work with stakeholders and vendors, troubleshooting operational issues, evaluating user requirements, and recommending appropriate SAP Analytics, AWS/Azure cloud solutions and architectures that conform to the Firm’s security standards. Support is provided from Gurgaon (India), the USA, and San José (Costa Rica).
You'll collaborate with global customers, resolving escalated issues related to the SAP Analytics & Cloud Analytical Workbench infrastructure. Recommend changes, engineer solutions, and participate in implementation efforts. Additionally, the engineer reviews, develops, recommends, enforces, and adheres to SAP Analytics and Cloud Analytical Workbench system policies and standards, including those related to high availability, access management, and scalability.
In this role, you'll develop, adapt, and deliver solutions in emerging cloud database technologies, as required by changing business needs. Communicate and interact effectively with both internal and external business contacts, including other members of the IT organization, stakeholders (such as portfolio managers, product owners, and technical architects), contractors, and vendors.
