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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.

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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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