Salary
≈ $15k – $36k per year (Estimated)
Location
In office (Mumbai)
Seniority
Staff · 8+ years exp
Employment
Full-Time
First seen by Alion on Oct 9, 2026.
Overview
Company
Impact
Profile match
Hello Everyone,
We are hiring
Job Role : SAP Databricks Consultant
Experience : 8+ Years
Location Mumbai
Notice period : Immediate to 15 days
Mandatory Skill : Databricks, Spark/PySpark, Delta Lake, SQL, and data modeling.
Desire Skill : SAP ECC, SAP S/4HANA, BW, or SAP Analytics environments.
Job Description :
Key Responsibilities
- Design and implement SAP data products and end-to-end pipelines using Databricks, Spark/PySpark, Delta Lake, and SQL.
- Work alongside the internal team to build reusable frameworks, establish engineering best practices, and accelerate the team's adoption of Databricks for SAP reporting and data products.
- Migrate SAP reporting workloads and build transformation, semantic, and reporting layers.
- Establish standards for architecture, modeling, governance, security, monitoring, and reusable development frameworks.
- Work directly with business and technical stakeholders through implementation.
SAP Functional Scope
Strong understanding of SAP processes and reporting requirements across:
- SD: Sales orders, deliveries, billing, customer, and revenue analytics.
- MM: Procurement, inventory, purchase orders, and vendor analytics.
- FI/CO: General ledger, P&L, balance sheet, AP/AR, and cost center reporting.
Required Skills & Experience
- 7+ years in data engineering and analytics, including 3+ years of hands-on Databricks implementation.
- Strong expertise in Databricks, Spark/PySpark, Delta Lake, SQL, and data modeling.
- Experience with SAP ECC, SAP S/4HANA, BW, or SAP Analytics environments.
- Proven delivery of SAP-based reporting data products and ability to coach teams while achieving project outcomes.
Expected Outcomes
- Databricks platform, architecture, and development standards established.
- SAP data products for SD, MM, and FI/CO implemented and ready for support.
- Internal team enabled to independently develop, operate, and extend future data products.
Reusable frameworks, guidelines, and technical documentation completed.
Thank you,
Shobha
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