{"id":1227838,"url":"https://alion.io/job/rarefind-hr-consulting-senior-azure-data-engineer","title":"Senior Azure Data Engineer","company":{"id":3800800,"name":"Rarefind Hr Consulting","domain":"rarefindindia.com","url":"https://alion.io/company/rarefind-hr-consulting","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 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":["Mumbai, India","Navi Mumbai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":42000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":71},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"SSAS","optional":false},{"name":"Machine Learning","optional":true},{"name":"Microsoft Fabric","optional":true}],"status":"live","first_seen_at":"2026-09-23T04:10:17Z","employer_posted_date":null,"last_verified_at":"2026-09-23T04:10:17Z","board_verified":false,"closed_at":null,"days_open":32,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":32},"description":"Senior Azure Data Engineer - Analytics\n\nExperience : 6 - 10 Years (Strict Requirement)\n\nRole Overview : \n\nWe are seeking an experienced Senior Azure Data Engineer with a strong background in building scalable data pipelines, enterprise data modeling, and modern cloud architectures. The ideal candidate will bring deep expertise in Microsoft Azure, enterprise data platforms, and data warehousing methodologies, along with mandatory Azure certifications.\n\nKey Responsibilities : \n\n- Design, build, and maintain enterprise-grade ETL/ELT data pipelines using Azure Data Factory (ADF) and Azure Databricks.\n\n- Architect and implement scalable data models (Data Modeling, Star Schema, Snowflake Schema) optimized for analytical processing.\n\n- Write high-performance SQL, Python, PySpark, and Spark SQL scripts for data transformation, processing, and analytics.\n\n- Design and maintain robust data warehousing solutions across Azure cloud infrastructure.\n\n- Implement CI/CD pipelines for data solutions to ensure seamless deployment and automated testing.\n\n- Collaborate with business intelligence teams to integrate data models with reporting tools (Power BI, DAX, SSRS, SSAS).\n\n- Ensure data governance, security, quality, and compliance across all data 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