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Azure Data Engineer ( Azure Databricks) @ Apex One

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 Azure Data Engineer ( Azure Databricks)

Job Description

Job SummaryWe are seeking a skilled Azure Data Engineer with 4 years of overall experience, including at least 2 years of hands-on experience with Azure Databricks (Must). The ideal candidate will have strong expertise in building and maintaining scalable data pipelines and working across cloud-based data platforms.Key Responsibilities

Design, develop, and optimize large-scale data pipelines using Azure Data Factory, Azure Databricks, and Azure Synapse.

  • Implement data lake solutions and work with structured and unstructured datasets in Azure Data Lake Storage (ADLS).
  • Collaborate with data scientists, analysts, and engineering teams to design and deliver end-to-end data solutions.
  • Develop ETL/ELT processes and integrate data from multiple sources.
  • Monitor, debug, and optimize workflows for performance and cost-efficiency.
  • Ensure data governance, quality, and security best practices are maintained.

Must-Have Skills

  • 4+ years of total experience in data engineering.
  • 2+ years of experience with Azure Databricks (PySpark, Notebooks, Delta Lake).
  • Strong experience with Azure Data Factory, Azure SQL, and ADLS.
  • Proficient in writing SQL queries and Python/Scala scripting.
  • Understanding of CI/CD pipelines and version control systems (e.g., Git).
  • Solid grasp of data modeling and warehousing concepts.

Skills: azure synapse,data modeling,data engineering,azure,azure databricks,azure data lake storage (adls),ci/cd,etl,elt,data warehousing,sql,scala,git,azure data factory,python

Job Classification

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

Contact Details:

Company: Apex One
Location(s): Hyderabad

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Keyskills:   Data Engineering Azure Data Factory ADLS Azure Databricks ETL ELT Azure SQL SQL

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Apex One

Company DetailsApex One Team