Senior Associate_Azure Data Engineer, Analytics Engineer

5 - 10 years

9 - 10 Lacs

Posted:2 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

We are seeking an experienced Azure Data Engineer / Microsoft Fabric Analytics Engineer to join our data engineering team. The ideal candidate will have a strong background in designing, building, and maintaining scalable data solutions using Azure Data Services and Microsoft Fabric. You will work closely with crossfunctional teams to deliver highquality data platforms that drive business insights and decisionmaking.

 

Key Responsibilities

  • Design, develop, and maintain endtoend data pipelines and data integration solutions using Azure Data Factory and Microsoft Fabric.
  • Build and optimize Lakehouse and Data Warehouse solutions within Microsoft Fabric.
  • Develop data transformation logic using PySpark , Spark SQL, and Python.
  • Implement medallion architecture (Bronze, Silver, Gold) for data lake solutions.
  • Create and manage data models, semantic models, and datasets for reporting and analytics.
  • Ensure data quality, consistency, and security across all data platforms.
  • Monitor, troubleshoot, and optimize data pipeline performance.
  • Collaborate with data architects, data scientists, analysts, and business stakeholders to understand data requirements.
  • Implement data goverce policies and best practices.
  • Document technical designs, data flows, and solution architectures.
  • Stay updated with the latest Azure and Microsoft Fabric features and best practices.
Mandatory skill sets
Required Skills
  • 510 years of handson experience in data engineering and analytics.
  • Proficiency in Azure Data Services including
  • Azure Data Factory
  • Azure Synapse Analytics
  • Azure Data Lake Storage (ADLS Gen2)
  • Azure SQL Database
  • Proficiency in Microsoft Fabric workloads
  • Data Engineering (Lakehouse, Notebooks)
  • Data Warehouse
  • Data Pipelines
  • OneLake
  • Strong programming skills in PySpark , Spark SQL, Python, and SQL.
  • Experience with data modeling (dimensional modeling, star/snowflake schemas).
  • Knowledge of ETL/ELT design patterns and best practices.
  • Experience with Delta Lake and lakehouse architecture.
  • Strong analytical, problemsolving, and troubleshooting skills.
  • Excellent communication and collaboration skills.
Preferred skill sets
  • Microsoft Certified Azure Data Engineer Associate (DP203).
  • Microsoft Certified Fabric Analytics Engineer Associate (DP600).
  • Experience with Databricks and Delta Lake.
  • Experience with Power BI for data visualization and reporting.
  • Knowledge of CI/CD pipelines for data engineering (Azure DevOps, Git).
  • Experience working in Agile/Scrum environments.
  • Exposure to data quality frameworks and tools.
Education qualification
  • BE, B.Tech , ME, M,Tech , MBA, MCA (60% above )
Education
Degrees/Field of Study required Master of Business Administration, Bachelor of Engineering, Master of Engineering, Bachelor of Technology
Degrees/Field of Study preferred
Required Skills
Microsoft Azure, Microsoft Azure Analytics Services
Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline

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