Senior Data Engineer

21 hours ago

Karachi, Sindh, Pakistan ITKnocks Full time

We are seeking an experienced
Senior Data Engineer
with 7+ years of expertise in building and maintaining data platforms on Microsoft Azure. The ideal candidate will have hands-on experience designing scalable data pipelines, managing data warehouses and lakes, and enabling enterprise reporting and analytics.


What You'll Do:

  • Design, develop, and optimize data ingestion pipelines using Azure Data Factory, Synapse Analytics, and Azure Databricks.
  • Manage large-scale data storage solutions with Azure Data Lake Storage Gen2 and Azure Synapse Analytics.
  • Develop and optimize data lake and warehouse architectures using Azure Data Lake Storage Gen2, Delta Lake, and Fabric OneLake.
  • Implement data transformation frameworks (ETL/ELT) for structured and unstructured data.
  • Collaborate with business and analytics teams to design data models, warehouses, and marts.
  • Develop dashboards and reports using Power BI, leveraging Direct Lake mode for real-time analytics.
  • Perform data profiling, cleansing, and transformation using Power Query (M language).
  • Write efficient DAX expressions for calculated columns, measures, and time-based analysis.
  • Apply best practices for security, compliance, and Zero-Trust principles in Azure data solutions.
  • Implement CI/CD pipelines for data workloads using Azure DevOps.
  • Monitor, troubleshoot, and optimize pipelines to ensure reliability and performance.

 
What You Bring:

  • 6+ years of experience in data engineering and/or data analytics roles.
  • Strong proficiency in Python, SQL, and PySpark.
  • Hands-on experience with Microsoft Azure Fabric, Synapse, Data Factory, and Power BI Desktop.
  • Proficiency in Power Query (M) and DAX for data transformation and modelling.
  • Familiarity with CI/CD pipelines for data workflows using GitHub Actions or Azure DevOps.
  • Excellent communication and stakeholder engagement skills.

 Great to Have

  • Microsoft Certified: Azure Data Engineer Associate or Azure Enterprise Data Analyst Associate.
  • Knowledge of data architecture best practices and performance optimisation.

 
Why Join ITKnocks?

  • Be part of a growing, innovative team with a supportive and collaborative culture.
  • Work on international projects that transform businesses through Microsoft technologies.
  • Enjoy a hybrid work model that promotes work-life balance.
  • Build a long-term career with ongoing training and development opportunities.

Perks & Benefits

We believe great work happens when people feel supported, valued, and balanced. Here's what you can look forward to as part of our team:

  • Bi-Annual Increments
  • Hybrid Work Model
  • Medical Coverage (IPD & OPD)
  • Referral Bonus
  • Paid Certifications
  • Perfect Work-Life Balance
  • Work Timings: Monday to Friday, 6:00 AM – 3:00 PM (PKT)

(An early start means you'll have the rest of the afternoon and evening free, perfect for avoiding peak traffic, spending more time with family, or enjoying your social life.)

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