Home
Jobs

4 - 6 years

5 - 9 Lacs

Posted:1 day ago| Platform: Naukri logo

Apply

Work Mode

Work from Office

Job Type

Full Time

Job Description

JD for ADF. Role Description: Azure databricks development Competencies: Digital : Databricks, Azure Data Factory Experience (Years): 4-6 Essential Skills: Databricks, Pyspark Job Description Key Responsibilities:
  • Design, develop, and manage ETL pipelines using Azure Data Factory and integrate data from various on-premise and cloud-based sources.
  • Build and maintain data flows , pipelines , datasets , and linked services within ADF.
  • Work with Azure Data Lake , Azure Blob Storage , SQL Database , and Synapse Analytics to store and process data.
  • Optimize data pipelines for performance and cost-efficiency.
  • Implement data transformation logic using Azure Data Flows or custom Azure Functions.
  • Monitor, troubleshoot, and debug production ADF pipelines and related workflows.
  • Collaborate with data architects, analysts, and business users to define data requirements and ensure data quality.
  • Use CI/CD tools (e.g., Azure DevOps) for version control and pipeline deployment.
  • Maintain documentation for data pipelines, integration processes, and data mapping.

Mock Interview

Practice Video Interview with JobPe AI

Start Technical Interview
cta

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.

Job Application AI Bot

Job Application AI Bot

Apply to 20+ Portals in one click

Download Now

Download the Mobile App

Instantly access job listings, apply easily, and track applications.

coding practice

Enhance Your Skills

Practice coding challenges to boost your skills

Start Practicing Now
Diverse Lynx
Diverse Lynx

Information Technology and Staffing

Indianapolis

51-200 Employees

759 Jobs

    Key People

  • Sandeep Firke

    President
  • Navneet Kumar

    CEO

RecommendedJobs for You

Kolkata, Mumbai, New Delhi, Hyderabad, Pune, Chennai, Bengaluru

Kolkata, Mumbai, New Delhi, Hyderabad, Pune, Chennai, Bengaluru