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基本情報

Location
Noida, Uttar Pradesh
従業員カテゴリー
フルタイム 正社員
就労形態
ハイブリッド（在宅勤務）
転勤可能性
いいえ
掲載日
05-5月-2026
ジョブID
17435

概要と必要条件

Experience

  • 7 to 9 years of experience in the BSFI or healthcare sectors Industry working in Data Science engineering with a strong focus on AI/ML implementation 

Knowledge and skills (general and technical)

 

  • Design, build, and maintain robust ETL/ELT pipelines on cloud (Azure) or on-prem to collect, ingest and store large volumes of structured and unstructured data for batch/real time processing
  • Azure Synapse and ADLS experience for data storage and management.
  • Solve complex business problems using data and advanced technologies 
  • Monitor, optimize, and troubleshoot data pipelines to ensure reliability, scalability, and performance 
  • Ensure data processing, quality, security, and compliance guidelines, policies and standards are followed 
  • Collaborate with multiple partners from Business, Technology, Operations and D&A capabilities (Data Governance, Data Quality, Data Modeling, Data Architecture, Data science, DevOps, BI & insights) 

 

About MetLife

Recognized on Fortune magazine's list of the "World's Most Admired Companies" and Fortune World’s 25 Best Workplaces™, MetLife, through its subsidiaries and affiliates, is one of the world’s leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East.

Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we’re inspired to transform the next century in financial services. At MetLife, it’s #AllTogetherPossible. Join us!