Data Analytics Consultant
Job Description
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.
Responsibilities Duties:
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
Key Skills:
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.
Experiance Qualifications:
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.
Benefits:
Training, health, insurance, commuting support, lunch service etc.