Azure Data Engineer - Scalable systems - Hyderabad - WFO

Datavruti

Hyderabad

On-site

INR 2,400,000 - 3,000,000

Full time

10 days ago
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Job summary

Datavruti, a niche data, AI and analytics consulting company, is hiring for data engineering roles in Hyderabad to support mid-to-large global organizations in transformation journeys.

We seek candidates with 2–8 years of experience, strong SQL, Python, and hands-on Azure Data Factory and data integration expertise. Responsibilities include building scalable pipelines, data quality, modeling, and BI reporting.

Qualifications

  • Bachelor’s degree in CS/engineering or related field.
  • Proficiency in SQL and relational database design.
  • Strong scripting skills (Python or equivalent).
  • Experience with Azure Data Factory/SQL Server or similar tools.
  • Hands-on experience with scalable data systems (batch and real-time).
  • Strong ETL, data modeling, and BI understanding.
  • Knowledge of event processing and workflow orchestration.
  • Write high-quality, maintainable code and follow best practices.
  • Excellent problem-solving and debugging skills.
  • Team player with strong communication and results focus.

Responsibilities

  • Designing, building, and maintaining scalable data pipelines and workflows.
  • Developing and optimizing data ingestion, transformation, and integration processes.
  • Working with Azure Data Factory and related technologies to build and orchestrate data workflows.
  • Ensuring data quality and integrity through robust validation and monitoring systems.
  • Supporting data modeling efforts, including relational and dimensional modeling.
  • Building reporting and monitoring solutions to ensure efficient and accurate data operations.
  • Processing, logging, and correlating data from multiple sources to support business needs.

Skills

SQL proficiency
Python scripting
Data modeling
ETL pipelines
Event processing
Code quality
Team communication

Education

Bachelor’s degree in Computer Science, Engineering, or a related field

Tools

Azure Data Factory
SQL Server
Power BI

Job description

Hiring for:

A niche data, AI and analytics consulting company helping mid-large global organizations in their transformation journeys.


Positions: 2


Experience: 2 to 8 years


Salary: Up to INR 30 LPA ( Best as per the fitment)


Notice Period: Immediate to 15 days


Responsibilities


  • Designing, building, and maintaining scalable data pipelines and workflows.

  • Developing and optimizing data ingestion, transformation, and integration processes.

  • Working with Azure Data Factory and related technologies to build and orchestrate data workflows.

  • Ensuring data quality and integrity through robust validation and monitoring systems.

  • Supporting data modeling efforts, including relational and dimensional modeling.

  • Building reporting and monitoring solutions to ensure efficient and accurate data operations.

  • Processing, logging, and correlating data from multiple sources to support business needs.


Requirements


  • Bachelor’s degree in Computer Science, Engineering, or a related field.

  • Proficiency in SQL and relational database design.

  • Strong scripting skills for data/file manipulation (e.g., Python or similar languages).

  • Experience with Azure Data Factory, SQL Server, or similar tools for data integration and transformation.

  • Hands-on experience with scalable data systems, including batch and real-time processing.

  • Strong understanding of ETL pipelines, data modeling, and Business Intelligence systems.

  • Solid knowledge of event processing and workflow orchestration.

  • Ability to write high-quality, maintainable code and follow best practices in software engineering.

  • Excellent problem-solving and debugging skills.

  • A team player with strong communication skills and a drive for results.


Nice to Have


  • Experience with cloud platforms, particularly Azure or AWS.

  • Advanced knowledge of SQL and relational database performance optimization.

  • Familiarity with tools like Azure Data Lake, Power BI, or similar analytics platforms.

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