This Company is a software-enabled services provider, synonymous with SAP on Cloud, focused on delivering superior, highly automated Managed Services to Enterprise customers.
Our customers span multiple verticals and geographies across the Americas, EMEA and APAC.
We partner with AWS, SAP, Microsoft and other global technology leaders.
Responsibilities Duties:
Participate in requirements definition, analysis and the design of logical and physical data models for SAP Data marts
Leading data discovery discussions with Business in JAD sessions and map the business requirements to logical and physical data modeling solutions.
Conduct data model reviews with project team members
Gather technical metadata through data modeling tools
Ensure database designs efficiently support BI and end user requirements
Drive continual improvement and enhancement of existing systems.
Collaborate with ETL/Data Engineering teams to create data process pipelines for data ingestion and transformation.
Collaborate with Data Architects for data model management, documentation, and version control.
Maintain expertise and proficiency in the various application areas
Maintain current knowledge of industry trends and standards
This will be a short term contract.
Key Skills:
Strong experience in building SAP Data Analytics solutions
Proficient in the SAP modules like Order to cash, Inventory , Finance etc
Strong data analysis and data profiling skills
Strong Conceptual, Logical and Physical data modeling for VLDB Data warehouse
Hands on experience working with any of the following data platforms like Redshift , Big query , Synapse & snowflake
Exposure to tools like Databricks Spark, Delta Technologies, Informatica ETL or other industry leading tools
Good knowledge or experience with AWS Redshift, Athena, Glue .
Solid Understanding on AWS Cloud technologies, mainly on the services of VPC, EC2, S3, DMS and Glue.
Excellent verbal and written communication skill including the ability to describe complex technical concepts in relatable terms.
Ability to lead and prioritize multiple workstreams and confidence in making decisions about how to prioritize work efforts
Data-driven mentality. Self-motivated, responsible, diligent, and detail oriented
Effective oral and written communication skills
Ability to learn and maintain knowledge of multiple application areas
Ability to work independently and in conjunction with a team
Understanding of industry standard methodologies pertaining to Quality Assurance concepts and procedures
Experiance Qualifications:
Bachelor’s degree in Computer Science, Engineering, or relevant fields with 8+ years of experience as a Data and Solution Architect supporting Enterprise Data and Integration Applications or similar role for large scale enterprise solutions.
8+ years of experience with SAP Data Modeling in finance, commercial, supply chains, procurement, Customer analytics
3+ years of experience in Data Transformation/ETL tools and technologies, and related concepts such as data catalog
5+ years of experience in Big Data Infrastructure and tuning experience in Lakehouse Data Ecosystem including Data Lake, Data Warehouses, and Graph DB
AWS Solutions Architect Professional Level certifications
Extensive experience in data analysis on critical enterprise systems like SAP, SFDC etc