Senior Data Engineer & Data Scientist

We are seeking an experienced Senior Data Engineer with 5–7 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:

• 5+ 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.)