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Azure Data Engineer @ Miracle Software

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 Azure Data Engineer

Job Description

Role & responsibilities

  • 5+ years of experience in data engineering or a related field.
  • Strong hands-on experience with Azure Synapse Analytics and Azure Data Factory (ADF).
  • Proven experience with Databricks, including development in PySpark or Scala.
  • Proficiency in DBT for data modeling and transformation.
  • Expert in Analytics and reporting 
  • Power BI expert who can Develop power BI models and develop interactive BI reports
    Setting up RLS in Power BI reports
  • Expertise in SQL and performance tuning techniques.
  • Strong understanding of data warehousing concepts and ETL/ELT design patterns.
  • Experience working in Agile environments and familiarity with Git-based version control.
  • Strong communication and collaboration skills.

Preferred candidate profile

  • Experience with CI/CD tools and DevOps for data engineering.
  • Familiarity with Delta Lake and Lakehouse architecture.
  • Exposure to other Azure services such as Azure Data Lake Storage (ADLS), Azure Key Vault, and Azure DevOps.
  • Experience with data quality frameworks or tools.

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time

Contact Details:

Company: Miracle Software
Location(s): Visakhapatnam

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Keyskills:   Data Build Tool Azure Data Factory Azure Synapse Pyspark Snowflake Azure Databricks Azure Data Lake

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Miracle Software

Miracle Software Systems,Inc. founded in the year 1994.We are serving IT industry from last 20 years.We are the Premier Partner of IBM & SAP Implementation Partner.We are specialized in Integration & B2B tools.Please visit our website www.miraclesoft.com.