Job Category: Data Engineering
Job Type: Full Time
Job Location: Noida
Experience range : 3-5 years
What are we looking for :
We are seeking an energetic and passionate data engineering professional with a strong
interest in data modelling and data engineering, eager to thrive in a collaborative
environment. In this role, you will work closely with a team of engineers and data scientists
dedicated to delivering business value. If you enjoy a steep learning curve, expanding your
knowledge, and growing in the dynamic world of data engineering and AI, this is an excellent
opportunity.
What skills you must possess :
- Proven expertise in data modelling, pipeline development, and
- Proficient in ER Studio, STTM, AWS Glue, Redshift, Athena, and Power
- Skilled in SAP data environments, DevOps, and Agile (Azure ADO).
- Domain experience in Logistics, Supply Planning, Exports, and IFOT.
- Strong communication, documentation, and teamwork skills.
Key Responsibilities:
1. Data Modelling
- Lead Gap Analysis and Source-to-Target Mapping exercises.
- Analyse EA extract and map SAP sources to AWS Transform, Conform, and Enrich Zones.
- Create a matrix of reports to identify missing SAP fields/tables in the Transform Zone.
- Collaborate with SMEs to finalise the Data Model and obtain email confirmation and approval.
- Perform data modelling (ER Studio, STTM) and generate DDL scripts for implementation.
2. Data Engineering
- Set up pipeline infrastructure (Glue Jobs, crawlers, scheduling, step functions, etc.).
- Build, deploy, test, and run pipelines in lower environments.
- Verify data integrity (no duplicates, complete columns).
- Write unit tests and apply code formatting/linting.
- Collaborate with Modelling Engineers to align approaches.
- Update existing CZ pipelines (e.g., SDLF) with new columns for EZ tables.
- Raise DDP requests to register databases/tables and load data into the raw zone.
3. Others
- 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 Analysts and Virtual Engineers (VE) to refine and enhance semantic modelling in Power BI.
- Plan out work using Microsoft Azure, ADO. Dependencies, status and effort are correctly reflected.
So, are you the one? Let us know @ hr@aiqmen.com
Thank you!
Recruitment team @ AiQMEN