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Senior Data Engineer

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Onsite

Senior Data Engineer

Adobe

Senior Data Engineer

Skills

SQL QueriesData EngineeringTableauData MiningPythonMicrosoft SQL ServerSAP HANADatabricksData AnalysisMachine LearningAISAP ERPPower BIAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

17 August 2026

What they need


Job Summary

Join Adobe's world-class team as a Data Engineer in Bangalore, where you will be at the forefront of data innovation! This is an outstanding chance to create, build, and maintain scalable data pipelines and analytics solutions in a dynamic and collaborative environment.

Responsibilities

  • Build, develop, and optimize ETL/ELT pipelines using tools such as SAP BODS and SnapLogic.
  • Develop and improve complex SQL and PL/SQL queries, stored procedures, functions, and packages for data extraction, transformation, and reporting.
  • Architect and implement data solutions on Microsoft Azure, bringing to bear Azure Databricks and Azure data services for scalable pipelines and analytics.
  • Develop and maintain reporting and dashboarding solutions using BI/reporting tools.
  • Write clean, efficient Python code for data processing, automation, and pipeline orchestration.
  • Compose and build AI/ML-enabled tools and features to improve analytics capabilities.

Requirements

  • 10+ years of experience in data analytics/data engineering.
  • Solid practical experience with ETL tools - SAP BODS and SnapLogic.
  • Advanced expertise in SQL and PL/SQL, including query optimization.
  • Proven expertise in on-prem databases - Microsoft SQL Server and SAP HANA Analytics.
  • Solid experience with cloud platforms, specifically Microsoft Azure and Databricks.
  • Proficiency in Python for scripting, automation, and data engineering.
  • Experience with reporting/BI tools (e.g., Power BI, Tableau).
  • Demonstrated exposure to building AI/ML tools or integrating AI capabilities into data products.

Preferred Qualifications

  • Bachelor's degree or equivalent experience in Computer Science, Engineering, Information Systems, or a related field.
  • Experience with Delta Lake, Spark, modern data stack tools, familiarity with LLMs, ML pipelines, and relevant certifications.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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