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Junior Data Engineer || Immediate Joiners @ Enable Data

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 Junior Data Engineer || Immediate Joiners

Job Description

Experience Required: 3 to 4Years

Mode of work: Remote

Skills Required: Azure Data Bricks, Azure Data Factory, Pyspark, Python, SQL, Spark

Notice Period : Immediate Joiners/ Permanent/Contract role (Can join within June 15th )

  • 3 to 4+ years of experience with Big Data technologies
  • Exp with Databricks is must with Python scripting and SQL knowledge
  • Strong knowledge and experience with Microsoft Azure cloud platform.
  • Proficiency in SQL and experience with SQL-based database systems.
  • Experience with batch and data streaming.
  • Hands-on experience with Azure data services, such as Azure SQL Database, Azure Data Lake, and Azure Blob Storage.
  • Experience using Azure Databricks in real-world scenarios is preferred.
  • Experience with data integration and ETL (Extract, Transform, Load) processes.
  • Strong analytical and problem-solving skills.
  • Good understanding of data engineering principles and best practices.
  • Experience with programming languages such as Pyspark/Python
  • Relevant certifications in Azure data services or data engineering are a plus.


Interested candidate can share your resume to OR you can refer your friend to Pa********r@en*******a.com for the quick response.

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Big Data Engineer
Employement Type: Full time

Contact Details:

Company: Enable Data
Location(s): Hyderabad

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Keyskills:   Azure Data Factory Pyspark Azure Databricks Spark ETL Azure Synapse Big Data Azure Data Lake Data Warehousing SQL

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Enable Data

Enable Data is advanced data application and cloud solutions working on cutting-edge projects driving innovation and transformation for our customers. We empower our customers to leverage modern solutions to deliver increased value across their business ecosystem. Enable Data architects worked with...