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Hiring For Azure Synapse professionals

  • Source: Naukri
  • Epam Systems
  • $15,754.6 to $26,257.66 /yr
  • Hybrid
  • Bengaluru
  • Full-Time
  • Mid level

Job Description

Key Responsibilities

EDL Remediation Ingestion & Pipelines

  • Assess existing ADF pipelines and SAP Data Services / Databricks ingestion flows for impact from S/4HANA structural and semantic changes.
  • Remediate and re-point pipelines to migrated source structures; re-initialise deltas and full reloads where required.
  • Validate ingested data against source to confirm parity post-migration.

Data Processing & Modeling — Synapse

  • Remediate Synapse Dedicated SQL Pool data models and transformation logic affected by S/4 field, key, and org-structure changes.
  • Regression-test transformations; root-cause and resolve data-quality and reconciliation breaks.
  • Optimise remediated schemas for performance.

Reporting Layer Remediation — Power BI

  • Remediate Power BI datasets and reports impacted by upstream EDL changes.
  • Reconcile and validate report outputs against migrated data.
  • Support existing dashboards and reports; resolve defects raised during SIT/UAT.

Support & Documentation

  • Provide ongoing BAU support to the live EDL and PBI estate alongside remediation delivery.
  • Document remediated pipelines, workflows, models, and reports; maintain the impact/change register.
  • Work with [Accenture / EPAM / JDE] stakeholders to confirm remediation ownership boundaries and secure sign-off.

Qualifications

Technical Skills

  • Strong SQL and ETL/ELT experience (SAP Data Services, ADF).
  • Proficiency across Azure Synapse, Data Factory, and Databricks.
  • Data modeling and Power BI reporting expertise, including reconciliation and regression validation.
  • Experience remediating or migrating existing data platforms (not just greenfield build).
  • SAP ECC / S/4HANA source experience strongly preferred; knowledge of APIs for data integration.
  • Good to have: Logic Apps, Function Apps, Power App

Experience

  • 5+ years in data engineering or analytics.
  • Preferably prior Finance, Supply Chain, Manufacturing or R&D domain experience.
  • Azure certification (preferred).

Skills

  • microsoft-azure
  • azure-synapse
  • microsoft-azure-synapse
  • sap
  • sap-data-services
  • azure-databricks
  • databricks
  • processing-js
  • power-bi
  • accenture
  • azure-data-factory
  • sap-ecc-r3

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