Company Details
Industry:
Information Technology and Services
Description:
Lemongrass Cloud: Specialists in Running SAP on Hyperscale Clouds
Lemongrass Cloud’s mission is to help large Enterprises achieve the best operating experience of SAP on hyperscale Cloud through a transformation to a digitally enabled, highly automated service delivery model that empowers the greatest level of agility and innovation. Our customers span multiple verticals and geographies across the Americas, EMEA and APAC. We partner with SAP, Amazon Web Services (AWS), Microsoft, Google and other global technology leaders.
Job Description
Responsibilities:
- Participate in requirements definition, analysis and the design of logical and physical data models for SAP and non SAP Data marts
- Leading data discovery discussions with Business in JAD sessions and map the business requirements to logical and physical data modelling solutions.
- Conduct data model reviews with project team members
- Gather technical metadata through data modelling 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
Required skills:
- Strong experience in building SAP and non SAP Data Analytics solutions
- Proficient in Data modelling, data analysis and data profiling
- Strong Conceptual, Logical and Physical data modelling for Cloud Data warehouse
- Hands on experience working with any of the following data platforms like Redshift, Databricks, Big query, Synapse & snowflake.
- Exposure to tools like Databricks Spark, Delta Technologies, Informatica ETL or other industry leading tools
- Good experience with AWS Redshift, Athena, Glue.
- Solid Expertise 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.
Qualifications
Education/Experience Level:
- Bachelor’s degree in computer science, Engineering, or relevant fields with 10+ 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 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
Education: Degree
Employment Type: Full Time
Contact Information
Name: Ellon M
