Marsh McLennan
Marsh McLennan
Marsh McLennan risklar, strategiya va insonlar bilan bog‘liq maslahat xizmatlari yo‘nalishlarida faoliyat yurituvchi global professional xizmatlar kompaniyasidir. Uning tarkibiga sug‘urta brokerligi va risklarni boshqarish xizmatlarini ko‘rsatuvchi Marsh; qayta sug‘urta va kapital strategiyalariga ixtisoslashgan Guy Carpenter; sog‘liqni saqlash, farovonlik va karyera bo‘yicha maslahat beruvchi Mercer; strategiya, iqtisodiyot va brend konsaltingiga ixtisoslashgan Oliver Wyman kiradi. Dunyo bo‘ylab 85 000 dan ortiq xodimga ega Marsh McLennan moliya, konsalting, marketing va boshqa tegishli professional xizmatlar sohalaridagi tajribani birlashtiradi. Kompaniyaning ishga qabul qilish yo‘nalishlari uning to‘rtta biznesi bo‘yicha mijozlarga maslahat berish, risklarni tahlil qilish, biznes strategiyasi, konsalting va operatsion jamoalarni qo‘llab-quvvatlashga qaratilgan lavozimlarni qamrab oladi.

Manager, Data Engineering - Pune (Hybrid)

Lead data engineering initiatives for Marsh McLennan’s global risk and consulting business. Build scalable Databricks, PySpark, SQL, Delta Lake, and Lakehouse solutions for governed analytics.

Tavsif

  • Design and deliver scalable pipelines on the Databricks Lakehouse platform
  • Create and maintain data products based on Medallion Architecture
  • Develop pipelines for data ingestion, transformation, and consumption
  • Build business-ready Gold-layer datasets for reporting and analytics
  • Manage Delta Lake tables and related data assets
  • Implement incremental processing with Merge, Upsert, and CDC patterns
  • Improve Delta table performance through partitioning, compaction, and tuning
  • Assess legacy data flows and SQL, then convert them into efficient PySpark pipelines
  • Record transformation rules and migration strategies
  • Develop scalable PySpark applications in Databricks
  • Create reusable engineering frameworks and components
  • Tune Spark workloads and review execution plans
  • Establish data quality checks, reconciliation procedures, and validation frameworks
  • Write complex SQL, stored procedures, and efficient transformation logic
  • Use SQL for data analysis, profiling, and issue resolution
  • Improve query performance and data models for large-scale datasets
  • Support lineage, metadata, governance, CI/CD, and deployment automation
  • Partner with data architects, business stakeholders, analysts, and platform teams

Talablar

  • Demonstrated hands-on expertise with Databricks and Spark-based data engineering
  • Experience applying Medallion Architecture across Bronze, Silver, and Gold layers
  • Background designing and operating Delta Lake solutions
  • Solid understanding of Lakehouse Architecture concepts
  • Experience building scalable pipelines for enterprise analytics platforms
  • Knowledge of data quality, lineage, governance, and observability practices
  • Experience with Informatica is an advantage
  • Cloud engineering experience, preferably with AWS
  • Practical expertise in Databricks, PySpark, SQL, Delta Lake, Medallion Architecture, data modeling, and distributed processing at scale

Imtiyozlar

  • Opportunities for professional growth and development
  • Engaging work with supportive leadership
  • Inclusive and energetic workplace culture
  • Flexible working environment
  • Multiple career development paths
  • Benefits and rewards focused on employee well-being
  • Option to work remotely
  • Office-based collaboration, relationship building, and professional development opportunities

O‘xshash ish o‘rinlari

Terumo Medical Corporation

Territory Manager, Interventional Systems — Philadelphia

Terumo Medical Corporation

Lead sales of Terumo Interventional Systems devices to hospitals and outpatient facilities in the Philadelphia area. Build accounts, support procedures, educate clinicians, and meet territory sales goals.

Ochish