Job Title: Azure Data Engineer

Job Summary

An Azure Data Engineer designs, builds, and maintains scalable data solutions on Microsoft Azure. The role focuses on data ingestion, transformation, storage, and analytics to support business intelligence, reporting, and advanced analytics.

Key Responsibilities

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Design and develop data pipelines using Azure services such as Azure Data Factory, Azure Synapse Analytics, and Azure Databricks

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Build and manage data lakes using Azure Data Lake Storage (ADLS)

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Optimize data storage and performance for large-scale datasets

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Implement ETL/ELT processes to transform raw data into analytics-ready formats

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Work with structured and unstructured data from multiple sources

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Ensure data quality, reliability, and security

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Collaborate with data analysts, data scientists, and stakeholders

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Monitor, troubleshoot, and optimize data workflows

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Implement CI/CD and version control for data solutions

Required Skills

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Strong experience with Microsoft Azure data services

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Proficiency in SQL

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Experience with Python, Scala, or Spark

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Hands-on knowledge of:

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Azure Data Factory

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Azure Synapse Analytics

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Azure Databricks

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Azure Data Lake

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Understanding of data warehousing and data modeling

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Experience with big data concepts and distributed systems

Preferred Qualifications

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Bachelor's degree in Computer Science, Engineering, or related field

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Microsoft certification (e.g., DP-203: Azure Data Engineer Associate)

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Experience with Power BI or other reporting tools

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Knowledge of DevOps, CI/CD pipelines, and Git

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Familiarity with streaming tools (e.g., Event Hubs, Kafka)

Soft Skills

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Solid problem-solving abilities

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Good communication and teamwork skills

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Ability to work with large, complex datasets

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Attention to detail and performance optimization

📌 Azure Data Engineer TCS (Delhi)
🏢 TalentOla
📍 Delhi