{"id":2290441,"url":"https://alion.io/job/info-resume-edge-lead-azure-data-engineer","title":"Lead Azure Data Engineer","company":{"id":4403789,"name":"InfoResumeEdge","domain":"inforesumeedge.com","url":"https://alion.io/company/info-resume-edge","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data 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SQL","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-11T14:46:30Z","employer_posted_date":null,"last_verified_at":"2026-10-11T14:46:30Z","board_verified":false,"closed_at":null,"days_open":2,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":2},"description":"Key Responsibilities\nParticipate in the modernization and migration of current Azure data and analytics systems to the Databricks Lakehouse Platform.\n\nSupport Databricks platform enablement, configuration, and deployment activities.\n\nDesign, develop, and maintain ETL/ELT pipelines using Azure Data Factory, Azure Functions, and Databricks.\n\nBuild scalable data integration solutions across Azure Data Lake, Azure SQL Database, Azure Storage (Blob/File), and Databricks.\n\nAssist in optimizing ingestion and transformation processes for performance, reliability, and cost efficiency.\n\nMigrate legacy data pipelines, workflows, and processing logic into Databricks notebooks or Delta pipelines.\n\nWork with cross-functional teams to understand business requirements and translate them into technical solutions.\n\nEnsure all solutions comply with Marsh MMA standards for security, governance, and data quality.\n\nPerform data validation, unit testing, troubleshooting, and system performance tuning.\n\nDocument architecture, workflows, design decisions, and operational procedures.\n\nRequired Technical Skills\nStrong hands-on experience with:\n\nAzure Data Factory (ADF)\n\nSQL / T-SQL\n\nAzure Functions\n\nAzure SQL Database\n\nAzure Data Lake (ADLS Gen2)\n\nAzure Storage (Blob / File)\n\nDatabricks (Notebooks, Delta Lake, Spark)\n\nQualifications\nBachelors degree in Computer Science, Data Engineering, Information Technology, or related field.\n\nProven experience working with cloud-based data engineering solutions, preferably in Azure ecosystems.\n\nExperience supporting cloud migration or modernization initiatives is a plus.\n\nStrong understanding of ETL/ELT concepts, data modeling, and distributed data processing.\n\nSoft Skills\nStrong analytical and problem-solving mindset.\n\nExcellent communication and documentation abilities.\n\nAbility to collaborate with cross-functional teams across technical and business domains.\n\nDetail-oriented with a focus on quality and compliance.\n\nOriginally posted on Himalayas","description_format":"text","description_chars":1993,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Software","ERP & Business Management Software","Recruiting Software & ATS"],"lifecycle":[{"event":"open","at":"2026-10-11T17:28:30Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring 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