# SAP Developer at Artefact

> India · Unspecified · Software engineering · open. Source: https://alderhq.app/jobs/greenhouse%3Aartefact%3A8749870002 (read 2026-11-07).

## Facts (observed)

- Company: [Artefact](https://alderhq.app/companies/artefact)
- Location text: Pune, Maharashtra, India; India
- Where it can be done from (inferred): India (evidence: "Location lists "pune"")
- Posted: 2026-08-26 (73 days ago)
- First seen by alder: 2026-11-02 · last verified: 2026-11-04
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://job-boards.greenhouse.io/artefact/jobs/8749870002
- Skills listed (inferred): GCP

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (Pune, n 3): p25 ₹28.4L, median ₹32.3L, p75 ₹35.7L

## Description (the employer's text)

### About the Role

We are looking for a Senior SAP BW/BI Developer to design, build, and optimize enterprise data warehousing solutions on SAP BW. The ideal candidate has deep hands-on experience across the full SAP BW/BI stack — from data extraction and ABAP development to performance tuning and cross-platform data integration — and can independently own complex data solutions from design through production support.

### Key Responsibilities

- Design and develop SAP BW/BI solutions, including data models, extraction logic, and reporting objects to support business analytics needs.
- Build and maintain data ingestion pipelines from SAP ECC and functional modules including PM, FI/CO, SD, MM, and C4C into SAP BW.
- Develop, enhance, and debug custom extractors, user exits, and enhancements using ABAP programming.
- Design and build DSOs (Data Store Objects), InfoCubes, and BEx Queries to support reporting and analytics requirements.
- Develop and maintain APDs (Analysis Process Designer) to extract data from BW and push output files to application servers for downstream consumption.
- Analyze, troubleshoot, and optimize BW query and load performance, particularly for large data volumes.
- Build and support connectivity between SAP BW and external data platforms, preferably Cloudera and/or Google Cloud Platform (GCP).
- Design, schedule, and monitor Process Chains to automate data loads and ensure data availability SLAs are met.
- Manage Transport Requests across development, quality, and production landscapes following change management best practices.
- Create and maintain technical documentation, including design specs, data flow diagrams, and process runbooks.
- Collaborate with functional consultants, business analysts, and downstream data teams to translate business requirements into technical solutions.
- Provide production support, root-cause analysis, and long-term fixes for data and performance issues
### Required Skills & Experience

- 5+ years of overall SAP experience, with a strong focus on BW/BI development.
- Bachelor's degree in Computer Science, Information Systems, Engineering, or related field (or equivalent practical experience).
- Expert-level knowledge of SAP BW/BI architecture and development (BW on HANA experience a plus).
- Proven experience integrating data from ECC and modules such as PM, FI/CO, SD, MM, and C4C into SAP BW.
- Strong ABAP programming skills, including enhancements, user exits, and custom extractor development.
- Hands-on experience developing APDs for data extraction and file delivery to application servers.
- Expertise in building DSOs, InfoCubes, and BEx Queries.
- Demonstrated experience optimizing BW query and load performance in high-volume environments.
- Experience connecting SAP BW to external databases/platforms, preferably Cloudera or GCP.
- Solid understanding of Process Chain design, scheduling, and monitoring.
- Experience with Transport Request management and SAP change control processes.
- Strong documentation skills — able to produce clear technical specs and process documentation.
- Excellent problem-solving skills with the ability to work independently on complex, ambiguous data issues.
- Strong communication skills to collaborate with cross-functional business and technical teams.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Aartefact%3A8749870002 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.