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DE&A - Core - Advanced Visualization & Cloud Reporting - Azure Analysis Services

Zensar Technologies

Pune, INonsitePosted Jul 17, 2026
Posting intelligenceActively listed

Skills

databricksazurecicd

About the role

Role Overview

We are seeking a skilled Data Integration & Middleware Engineer to implement and manage scalable data pipelines and middleware solutions. The role will focus on orchestrating data workflows using Azure technologies such as Azure Data Factory (ADF), Azure Blob Storage, and Azure SQL Database, ensuring efficient ETL/ELT processing and high-quality data delivery.

Key Responsibilities

Manage end-to-end data integration pipelines using Azure Data Factory (ADF)

Orchestrate and monitor data workflows , ensuring reliability, performance, and error handling

Implement\ Manage ETL/ELT processes for data ingestion, transformation, and loading

Manage and optimize data storage solutions using Azure Blob Storage

Maintain structured data models in Azure SQL Database / Azure DB

Ensure data quality, validation, and governance across pipelines

Support integration with on-premise and cloud-based systems

Perform performance tuning and cost optimization across the data platform

Technical Skills Required

Core Skills – Must Have

Strong experience with Azure Data Factory (ADF) for orchestration

Hands-on experience with ETL/ELT development

Experience with Azure Blob Storage / Data Lake

Proficiency in Azure SQL Database / SQL Server

Understanding of data warehousing concepts and data modeling

Knowledge of DevOps, CI/CD pipelines for data workflows

Nice to Have

Experience with Azure Databricks or Synapse Analytics

Knowledge of data pipeline optimization and monitoring

Familiarity with API integrations and data connectors

Exposure to data governance and security practices

Azure certifications (e.g., AZ-900, DP-203 )

Experience with real-time data processing frameworks (Event Hub, Service Bus)

Soft Skills

Strong analytical and problem-solving abilities

Clear communication and stakeholder management skills

Ability to work in a collaborative, cross-functional environment

Attention to detail and commitment to data quality

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