Data Modeller

Hi Candidates,

we have job openings in one of our MNC Company

Interested candidates can apply here and share details to chandrakala.c@i-q.co

Note: NP-0-15 days only serving

Role & responsibilities

Key Responsibilities

• Complete Data Modelling Tasks o Initiate and manage Gap Analysis and Source-to-Target Mapping Exercises. o Gain a comprehensive understanding of the EA extract. o Map the SAP source used in EA extracts to the AWS Transform Zone, AWS Conform Zone, and AWS Enrich Zone.
• Develop a matrix view of all Excel/Tableau reports to identify any missing fields or tables from SAP in the Transform Zone.
• Engage with SMEs to finalize the Data Model (DM).
• Obtain email confirmation and approval for the finalized DM. o Perform data modelling using ER Studio and STTM. o Generate DDL scripts for data engineers to facilitate implementation.
• Complete Data Engineering Tasks o Set up infrastructure for pipelines this includes Glue Jobs, crawlers, scheduling, step functions etc.
• Build, deploy, test and run pipelines on demand in lower environments.
• Verify data integrity: no duplicates, all columns in final table etc.
• Write unit tests for methods used in pipeline and use standard tools for testing. o Code formatting and linting. o Collaborate with other Modelling Engineers to align on correct approach. o Update existing pipelines for CZ tables (SDLF and OF) where necessary with new columns if they are required for EZ tables.
• Raise DDP requests to register databases and tables, and to load data into the raw zone.
• Create comprehensive good documentation. Ensure each task is accompanied by detailed notes specific to its functional area for clear tracking and reference.
• Analyse and manage bugs, and change requests raised by business/SMEs.
• Collaborate with Data Analyst and Virtual Engineers (VE) to refine and enhance semantic modelling in Power BI.
• Plan out work using Microsoft Azure, ADO. Dependencies, status and effort is correctly reflected.

Required Skills and Experience:

• Proven experience in data modelling and data pipeline development.
• Proficiency with tools like ER Studio, STTM, AWS Glue, Redshift & Athena, and Power BI.
• Strong SQL and experience with generating DDL scripts.
• Experience working in SAP data environments.
• Experience in any of these domain areas is highly desirable: Logistics, Supply Planning, Exports and IFOT.
• Familiarity with cloud platforms, particularly AWS.
• Hands-on experience with DevOps and Agile methodologies (e.g., Azure ADO).
• Strong communication and documentation skills.
• Ability to work collaboratively with cross-functional teams.

Preferred candidate profile