Senior Data Engineer

Job Title: Senior Data Engineer

Location:

Experience:

Type:

Joining:

About the Role

Lead Data Engineer

You’ll collaborate with analysts, architects, and business stakeholders to deliver end-to-end data solutions that enable data-driven decision-making. This role requires strong technical expertise, cloud data engineering skills, and the ability to mentor junior team members.

Key Responsibilities

• Develop and maintain

  data pipelines

  using

  Azure Data Factory (ADF)

  and

  Databricks

  .
• Design and implement

  Power BI / Fabric dashboards

  for actionable insights.
• Collaborate with cross-functional teams to understand requirements and deliver solutions.
• Perform

  ETL operations

  — extract, transform, and load data into Azure Data Lake or Azure SQL.
• Ensure

  data quality, reliability, and integrity

  throughout the data lifecycle.
• Automate repetitive data processes for efficient reporting.
• Monitor, troubleshoot, and optimize data pipelines for performance and scalability.
• Write

  clean, maintainable code

  for data transformations and automation.

Required Qualifications

• Bachelor’s degree

  in Computer Science, IT, or related field.

• 7+ years

  of experience in Data Engineering, BI Development, or a related field.
• Hands-on experience with

  Azure Data Factory (ADF)

  and

  Power BI

  .
• Strong SQL skills and experience with

  Azure SQL Database / SQL Server

  .
• Proficiency in

  Python, SQL, or equivalent scripting languages

  .
• Knowledge of

  data warehousing concepts and ETL processes

  .
• Experience working with

  cloud-based data platforms

  (preferably Microsoft Azure).
• Strong analytical, troubleshooting, and optimization skills.

Preferred Qualifications

• Experience with

  Azure Databricks

  or similar data processing frameworks.
• Knowledge of

  Microsoft Fabric

  and

  data modeling for Power BI

  .
• Familiarity with

  data lake architecture

  and performance tuning.