Senior Data Engineer
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Salary
≈ $21k – $45k per year (Estimated)
Location
Hybrid (Bengaluru, India)
Seniority
Senior · 6+ years exp
Employment
Full-Time
First seen by Alion on Oct 22, 2026.
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Role : Azure AI - Data Engineer
Experience: 6-8 years
Location: Bangalore(Hybrid)
Mandatory skills - ADF, Synapse, Microsoft Fabric
JD :
Day to Day Job Duties:
- Design, develop, and maintain scalable data pipelines using Azure Data Factory (ADF), Azure Synapse Analytics, and Microsoft Fabric.
- Build and optimize enterprise data solutions leveraging Azure Data Lake, Cosmos DB, Azure SQL, and Synapse.
- Implement data ingestion, transformation, and integration processes for structured and unstructured data.
- Develop and support modern data platforms, data warehousing, and analytics solutions.
- Enable AI and GenAI use cases by supporting RAG (Retrieval-Augmented Generation), vector search, and Azure AI Search integrations.
- Collaborate with business, consulting, and engineering teams to deliver data-driven solutions and ensure data quality, security, and governance.
Basic Qualifications:
- Bachelor's degree in computer science, Information Technology, Engineering, or related field.
- Hands-on experience with Azure Data Factory (ADF), Azure Synapse Analytics, Microsoft Fabric, Azure Data Lake, Cosmos DB, and Azure SQL/Synapse.
- Strong proficiency in SQL, Python, and data engineering concepts.
- Experience building ETL/ELT pipelines, data models, and enterprise-scale data solutions.
- Understanding of cloud-based data architectures, data governance, and performance optimization.
- Strong analytical, problem-solving, and communication skills.
Preferred Qualifications:
- Experience with Azure AI Search, vector databases, embeddings, and RAG-based AI solutions.
- Knowledge of Spark, PySpark, and Fabric Lakehouse architectures.
- Experience with DevOps, CI/CD pipelines, and Infrastructure as Code.
- Microsoft Azure or Fabric certifications preferred.
- Experience working within Agile delivery and consulting environments
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