Senior Consultant - Data Engineering

About the Role :

Make an impact with MNP Digital as a Senior Data Engineering Consultant (Microsoft Fabric) helping empower our clients with innovative data solutions that unlock insights, drive transformation, and share the future of Data and AI.

Total Experience : 8 - 12 years

Responsibilities :

- Design and implement data pipelines, transformations, and data models using Microsoft Fabric (Lakehouse, Synapse Data Engineering, Data Factory, Direct Lake).

- Collaborate with architects, business analysts, and stakeholders to translate business needs into technical solutions.

- Build and optimize Fabric Notebooks, Pipelines, and Dataflows to support batch and near-real-time ingestion.

- Implement Medallion architecture best practices (Bronze, Silver, Gold layers) for data curation and analytics readiness.

- Ensure data quality, lineage, and security by leveraging Fabric-native governance and Microsoft Purview.

- Develop and maintain semantic models to support advanced reporting and analytics in Power BI.

- Document and enforce best practices for ingestion, transformation, and modeling across the Medallion architecture.

- Support CI/CD and DevOps processes for Fabric workspace deployments and pipeline automation.

- Mentor Consultants and junior engineers, conducting code reviews and technical knowledge-sharing sessions.

- Troubleshoot performance issues in Fabric workloads, optimizing pipelines and queries for scale.

- Stay current with the Fabric ecosystem, Spark, and Azure Data Services, and contribute to best-practice adoption.

Skills :

- Post-secondary education in Computer Science, Engineering, or related discipline.

- 5 - 8 years of professional experience in data engineering, with hands-on project delivery in cloud data platforms.

- Strong proficiency in Microsoft Fabric components (Lakehouse, Synapse Data Engineering, Data Factory, Direct Lake).

- Strong programming skills in SQL, Python, and PySpark for data transformations.

- Experience with Azure Data Factory, Databricks, and modern data lake implementations.

- Strong communication skills with the ability to present technical solutions to both executive and technical audiences.

- Knowledge of data governance, metadata management, and lineage tracking with Purview or Fabric equivalents.

- Proficient in CI/CD implementation, automation, and deployment pipelines.

- Strong knowledge of Microsoft Fabric, Spark, SQL, and ADF for hybrid and migration scenarios.

- Strong analytical and problem-solving skills in distributed data environments.

- Excellent collaboration skills; able to mentor junior engineers and work as part of Agile teams.

Educational Qualifications :

- Bachelor of Computer Science, Engineering, or related discipline.

Certifications :

- Microsoft Certified : Fabric Data Engineer Associate (DP-700)

- Microsoft Certified : Fabric Analytics Engineer Associate (DP-600)

- Microsoft Certified : Azure Data Engineer Associate (DP-203)

Skills

Data Engineering, Microsoft Fabric, Python, SQL, PySpark, Azure Data Factory, Databricks, Data Pipeline, Medallion Architecture