{"id":3674898,"url":"https://alion.io/job/wny-consulting-minds-senior-consultant-data-engineering","title":"Senior Consultant - Data Engineering","company":{"id":4503906,"name":"WNY CONSULTING MINDS","domain":"wnygrp.com","url":"https://alion.io/company/wny-consulting-minds","size_band":null,"is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-03T08:39:51Z","employer_posted_date":null,"last_verified_at":"2026-11-03T08:39:51Z","board_verified":false,"closed_at":null,"days_open":11,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":11},"description":"About the Role : \n\nMake 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.\n\nTotal Experience : 8 - 12 years\n\nResponsibilities : \n\n- Design and implement data pipelines, transformations, and data models using Microsoft Fabric (Lakehouse, Synapse Data Engineering, Data Factory, Direct Lake).\n\n- Collaborate with architects, business analysts, and stakeholders to translate business needs into technical solutions.\n\n- Build and optimize Fabric Notebooks, Pipelines, and Dataflows to support batch and near-real-time ingestion.\n\n- Implement Medallion architecture best practices (Bronze, Silver, Gold layers) for data curation and analytics readiness.\n\n- Ensure data quality, lineage, and security by leveraging Fabric-native governance and Microsoft Purview.\n\n- Develop and maintain semantic models to support advanced reporting and analytics in Power BI.\n\n- Document and enforce best practices for ingestion, transformation, and modeling across the Medallion architecture.\n\n- Support CI/CD and DevOps processes for Fabric workspace deployments and pipeline automation.\n\n- Mentor Consultants and junior engineers, conducting code reviews and technical knowledge-sharing sessions.\n\n- Troubleshoot performance issues in Fabric workloads, optimizing pipelines and queries for scale.\n\n- Stay current with the Fabric ecosystem, Spark, and Azure Data Services, and contribute to best-practice adoption.\n\nSkills : \n\n- Post-secondary education in Computer Science, Engineering, or related discipline.\n\n- 5 - 8 years of professional experience in data engineering, with hands-on project delivery in cloud data platforms.\n\n- Strong proficiency in Microsoft Fabric components (Lakehouse, Synapse Data Engineering, Data Factory, Direct Lake).\n\n- Strong programming skills in SQL, Python, and PySpark for data transformations.\n\n- Experience with Azure Data Factory, Databricks, and modern data lake implementations.\n\n- Strong communication skills with the ability to present technical solutions to both executive and technical audiences.\n\n- Knowledge of data governance, metadata management, and lineage tracking with Purview or Fabric equivalents.\n\n- Proficient in CI/CD implementation, automation, and deployment pipelines.\n\n- Strong knowledge of Microsoft Fabric, Spark, SQL, and ADF for hybrid and migration scenarios.\n\n- Strong analytical and problem-solving skills in distributed data environments.\n\n- Excellent collaboration skills; 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