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Marsh McLennan
Marsh McLennan
Sponsor pentru viza H1BFinanțeJuridicMarketing
Marsh McLennan este o companie globală de servicii profesionale care activează în domeniile riscurilor, strategiei și serviciilor de consultanță legate de oameni. Printre companiile sale se numără Marsh, care oferă servicii de brokeraj în asigurări și gestionarea riscurilor; Guy Carpenter, axată pe reasigurare și strategii de capital; Mercer, care oferă clienților servicii de consultanță în sănătate, avere și carieră; și Oliver Wyman, specializată în consultanță strategică, economică și de brand. Cu o echipă de peste 85.000 de angajați în întreaga lume, Marsh McLennan reunește expertiză în finanțe, consultanță, marketing și servicii profesionale conexe. Oportunitățile de angajare ale companiei includ roluri care sprijină consultanța pentru clienți, analiza riscurilor, strategia de afaceri, consultanța și echipele operaționale din cadrul celor patru companii.
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Locurile de muncă ale companiei

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.

INIndiaHibridNormă întreagăNivel mediuSeniorLimbă Obligatorie: englezăInginer de date
AWSCloudInformaticaPySparkSparkSQL

Descriere

  • 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

Cerințe

  • 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

Beneficii

  • 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

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ARArgentinaBOBoliviaBRBraziliaCLChileCOColumbiaCRCosta RicaCUCubaDORepublica DominicanăECEcuadorGTGuatemalaHNHondurasHTHaitiMXMexicNINicaraguaPAPanamaPEPeruPRPuerto RicoPYParaguaySVEl SalvadorUYUruguayVEVenezuelaRemoteNormă întreagăJuniorNu este necesară o diplomăLimbă Obligatorie: englezăLimbă Obligatorie: spaniolăTraducător

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