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Azure Data Engineer

Exclusive opportunity

Hybrid

Azure Data Engineer

Intelliswift

Azure Data Engineer

Skills

Google Cloud PlatformSQL QueriesPythonKafkaSnowflakeNeo4jDatabricksData AnalysisAIScalaAWSAzure

9 days ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Hybrid

Published on:

16 October 2026

What they need


Role : Data Engineer

Location - Pune/Bangalore
Experience - 5 - 10 years

Key Responsibilities

Job Description

Key Responsibilities

  • Develop and maintain scalable data pipelines and integrations.
  • Build automated data discovery, metadata extraction, and lineage solutions.
  • Create queries and frameworks for data analysis, profiling, and reporting.
  • Implement AI-powered capabilities such as schema mapping, NL-to-SQL, anomaly detection, and data quality monitoring.
  • Integrate data from databases, Datalake, APIs, files, messaging systems, and cloud platforms.
  • Collaborate with data engineers, architects, and AI teams to deliver modern data solutions.
  • Establish data governance, cataloguing, monitoring, and observability practices.
  • Support automation initiatives using AI agents and intelligent workflows.

Required Skills

  • Strong SQL and data modelling expertise.
  • Experience with ETL/ELT (Databricks), data pipelines, and orchestration platforms.
  • Proficiency in Python (preferred), Scala, SQL
  • Experience with cloud data platforms (Azure, AWS, GCP, Databricks, Snowflake, Fabric, etc.).
  • Knowledge of APIs, event-driven architectures, and data governance.
  • Familiarity with AI/LLM technologies, AI agents, Vector databases and knowledge graph concepts and query automation.

Nice to Have

  • Neo4j, Knowledge Graphs, and graph-based data discovery.
  • Azure AI Foundry, OpenAI, Claude, Codex or similar AI platforms.
  • Experience with enterprise integration technologies, Kafka, and API management.

Email your updated profiles on [email protected]

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