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3 дня назад

Analyst Business Intelligence (Microsoft Fabric)

Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
onsite
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
senior
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
India
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

ОписаниС вакансии

ВСкст:
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TL;DR
Analyst Business Intelligence (Microsoft Fabric): Building and maintaining enterprise data engineering, reporting, and analytics solutions with an accent on Microsoft Fabric, data modeling, ETL/ELT pipelines, and Power BI datasets. Focus on developing scalable ingestion and transformation workflows, resolving production incidents within SLAs, and supporting month-end and financial close reporting.

Location: Pune, India

Company

hirify.global is a healthcare company providing medical products and related services.

What you will do

  • Design, develop, and maintain Microsoft Fabric solutions across Lakehouse, Warehouse, Data Pipelines, Dataflows, Notebooks, and Semantic Models.
  • Build scalable data ingestion, transformation, ETL/ELT, and orchestration solutions.
  • Create reporting-ready datasets and apply conceptual, logical, physical, and dimensional data modeling practices.
  • Gather requirements, deliver enhancements, and prepare technical designs, mappings, data-flow documentation, and support procedures.
  • Provide Level 2 and Level 3 production support, investigate data and pipeline failures, and implement permanent fixes within agreed SLAs.
  • Monitor critical jobs and reporting processes, coordinate deployments and hotfixes, and support month-end and financial close activities.

Requirements

  • 6+ years of experience in data engineering, business intelligence, analytics, or enterprise reporting.
  • Hands-on experience with Microsoft Fabric, including Lakehouse, Warehouse, OneLake, Data Pipelines, Notebooks, Semantic Models, and Power BI.
  • Strong SQL skills, including query optimization, complex data analysis, and performance tuning.
  • Experience with medallion architecture, lakehouse patterns, data warehouse design, facts, dimensions, keys, relationships, and reporting datasets.
  • Strong problem-solving, debugging, documentation, and cross-functional communication skills.
  • IT graduate qualification such as BE, BTech, or MCA is preferred.

Nice to have

  • Experience with Azure Data Factory, Azure Data Lake, Azure Synapse, or Databricks.
  • Knowledge of SAP data, business processes, HANA Modeling, BusinessObjects, or Tableau.
  • Experience in a captive center or global capability center environment.
  • Familiarity with Jira, ServiceNow, or equivalent ticketing tools.

Culture & Benefits

  • Health insurance, life and disability insurance, 401(k) contributions, and paid time off are available for employees working at least 30 hours per week on average.
  • Employees working fewer than 30 hours per week receive 401(k) contributions and access to the Employee Assistance Program, Employee Resource Groups, and Employee Service Corp.
  • Support for diversity, inclusion, career growth, and access to tools and resources for effective work.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’