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General information

IN_Bangalore_EOIZ Indust Area Campus_HCS
Additional Location:
Bangalore, India
Job Family:
Worker Type Reference:
Regular - Permanent
Pay Rate Type:

Description & Requirements

Azure Data Lead

Looking for an Azure Data Leads with good knowledge & understanding of ADF, Azure Databricks, MS SQL server, T-SQL, PySpark, and Data warehousing solutions.


  • Minimum of 6 years of experience in designing and implementing data solutions using Microsoft Azure.
  • Understanding of cloud computing principles and architecture
  • Develop and maintain data pipelines to extract, transform, and load (ETL) data from various sources into Azure data platforms.
  • Proficiency in Azure data services and tools, such as Azure Data Lake Storage, Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure SQL Data Warehouse
  • Strong programming skills in languages like SQL, Python/PySpark, or PowerShell
  • Experience with data modeling, data warehousing, and dimensional modeling
  • Exposure to any Source Control Management, like TFS/GIT/SVN
  • Familiarity with Azure security features and cloud migration
  • Knowledge of data governance, data security, and compliance best practices
  • Experience in retail domain is an added advantage.


  • Lead workshops with many teams to define data ingestion, validation, mining, engineering, modeling, visualization, AI, and analytics
  • Participate in design sessions, demos and prototype sessions, testing and training workshops with business users and other IT associates
  • Liaise with offshore team and clients for resolving technical dependencies, issues, and risks
  • Create ADF & Databricks data transformation pipelines from scratch
  • Implement data security at Storage and data movement layers
  • Assure that data is cleansed, mapped, transformed, and otherwise optimized for storage and use according to business and technical requirements
  • The ability to automate tasks and deploy production standard code (with unit testing, continuous integration, versioning etc.)
  • Load transformed data into storage and reporting structures in destinations including data warehouse

HARMAN is proud to be an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.