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Azure Data Engineer/Architect

Logic Planet
Bengaluru
10-14 Years
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Job Description

Key Responsibilities

  • Design, develop, and maintain CI/CD pipelines for Azure Databricks and Azure Data Factory (ADF) workloads
  • Build and manage ETL pipelines, triggers, and data workflows using Azure Data Factory
  • Develop and deploy Databricks jobs using PySpark, Python, and SQL notebooks
  • Implement DevOps processes using Jenkins, Bitbucket, Git, and Azure DevOps
  • Automate deployment and integration of data pipelines across environments
  • Monitor, troubleshoot, and optimize pipeline performance and reliability
  • Work with Azure storage services and ensure efficient data movement and processing
  • Implement security practices including Azure Key Vault, secrets management, and access control
  • Collaborate with data engineers, architects, and DevOps teams for seamless delivery
  • Ensure compliance with Azure governance, security, and enterprise standards
  • Mentor and guide team members on DevOps and CI/CD best practices

More Info

Job Type:
Permanent Job
Industry:
Consulting
Role:
Other Roles
Function:
Others
Employment Type:
Full time
Open to candidates from:
Indian

About Company

Logic Planet

Logicplanet IT Services (India) Pvt. Ltd., incorporated in 2007 and headquartered in Hyderabad, operates as a software publishing, consulting, and IT solutions provider. The company delivers enterprise technology services including software development, digital transformation, and IT staffing solutions. With expertise in areas such as embedded systems, QA automation, ERP, and cloud technologies, Logicplanet supports global clients by combining technical innovation with workforce solutions, positioning itself as both a technology partner and a recruitment facilitator.

Job ID: 147772955

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Last Updated: 19-05-2026 10:27:19 AM
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Skills:

Pyspark, Kafka, Azure Databricks, Data Integration, ELT, Nosql, Azure Synapse Analytics, Azure Data Lake, Microsoft Azure, Data Governance, Data Transformation, Hadoop, Workflows, Sql, Azure Data Factory, Spark, Data Warehousing, Data Security, Etl, Data Quality Frameworks, Azure SQL Database, Delta Live Tables, SQL Warehouse, Structured Streaming, Azure Blob Storage, Compliance Standards, Unity Catalog, Data Pipeline Architecture