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Azure Data Engineer (BI Expertise)
Azure Data Engineer (BI Expertise)Seosaph-infotech • kochi, India
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Azure Data Engineer (BI Expertise)

Azure Data Engineer (BI Expertise)

Seosaph-infotech • kochi, India
2 days ago
Job description

Position Overview

We are seeking a highly skilled Azure Data Engineer with Business Intelligence (BI) expertise and 3–6 years of industry experience . The ideal candidate will have strong hands-on development skills, experience in data engineering on Azure , BI solution design, data modeling, and the ability to collaborate with stakeholders to translate business needs into scalable data solutions. Experience in leading small teams , performing requirements gathering , and guiding solution design is essential.

Key Responsibilities

1. Data Engineering & Development

  • Design, develop, and maintain Azure-based data pipelines using :
  • Azure Data Factory (ADF)
  • Azure Databricks / PySpark
  • Azure Synapse Analytics
  • Azure Data Lake Storage (ADLS Gen2)
  • Implement scalable ETL / ELT processes for ingestion, transformation, loading of structured and unstructured data and migration
  • Optimize data pipelines for performance, cost-efficiency, and reliability.
  • Develop robust data models , data marts, star / snowflake schemas for analytics and BI consumption.

2. Business Intelligence & Analytics

  • Design and develop BI solutions and dashboards using :
  • Power BI (DAX, Power Query), Tableau
  • Azure Analysis Services / Power BI Premium semantic models
  • Ensure BI solutions align with business expectations, performance standards, and visualization best practices.
  • Validate data accuracy, data quality, and ensure smooth reporting enablement for business stakeholders.
  • 3. Requirements Gathering & Solutioning

  • Collaborate with business users, product owners, and analysts to understand reporting and analytics requirements.
  • Translate business needs into technical specifications, data models, and architecture.
  • Propose scalable, secure, and efficient Azure data solutions.
  • Present solution approaches and architecture options to stakeholders.
  • 4. Team Leadership & Collaboration

  • Lead a small team of developers and provide technical guidance, code reviews, and mentoring.
  • Work closely with cross-functional teams including data scientists, BI developers, and cloud architects.
  • Manage task prioritization, sprint planning, and ensure timely delivery of data engineering components.
  • 5. Data Quality, Governance & Operations

  • Implement best practices for data quality, validation, and monitoring.
  • Ensure compliance with security, governance, and data privacy standards (RBAC, encryption, data lineage).
  • Support production deployments, root-cause analysis, and continuous improvements.
  • Required Skills & Experience Technical Skills

  • Azure Data Engineering : ADF, Databricks, PySpark, Synapse, ADLS, Azure SQL, Key Vault.
  • Programming : SQL (advanced), PySpark / Python, T-SQL.
  • Data Modeling : Dimensional modeling, semantic models, DAX, star / snowflake.
  • BI Development : Power BI dashboards, reports, DAX calculations, Power Query.
  • Data Integration : API integrations, event-based ingestion, CDC, Kafka / Event Hub knowledge (nice to have).
  • Version control & DevOps : Git, Azure DevOps CI / CD for data pipelines (preferred).
  • Soft Skills

  • Strong analytical and problem-solving abilities.
  • Excellent communication, ability to work with business and technology stakeholders.
  • Leadership qualities including task delegation, code review, and mentoring of junior engineers.
  • Ability to understand end-to-end data flows and architect scalable solutions.
  • Preferred Qualifications

  • Microsoft Certified : Azure Data Engineer Associate (DP-203) or equivalent.
  • Experience working in Agile / Scrum environments.
  • Exposure to data warehousing concepts and cloud data architecture patterns.
  • Knowledge of performance tuning for SQL, BI dashboards, and big-data pipelines.
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    Azure Data Engineer • kochi, India

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