Azure Data Engineer | Backfill

Posted 6 Days Ago
Be an Early Applicant
Remote
Senior level
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
At MetLife, we’re a purpose-driven company that helps our customers build a more confident future.
The Role
The Azure Data Engineer will oversee the Azure BigData platform, collaborate with vendors and data teams, write Python scripts and assist in data ingestion and transformation projects, as well as manage various Azure components and services.
Summary Generated by Built In

Description and Requirements
Position Summary
Someone who is responsible for the Azure BigData platform in collaboration with vendor partner and BigData development team. Someone with hands on working experience in Azure Data Analytics using ADLS, Delta Lakes, Cosmos DB, Python and Spark/Scala programing to facilitate a strong, robust and flexible platform.
Job Responsibilities

  • Assist BigData development & Data science team by writing basic Python scripts, Spark & PySpark etc.
  • Assist BigData development and Data science team in Data Ingestion projects in Azure environment
  • Configure and manage I-a-a-S, P-a-s-S
  • Experience of Azure cloud components:


  • Azure Data Factory
  • Azure Data Lake
  • Azure Data Catalogue
  • Azure LogicApps & FunctionApps
  • Azure Synapse Analytics
  • Azure Databricks
  • Azure EventHub
  • Azure Functions
  • Azure SQL DB


Knowledge, Skills and Abilities
Education

  • Bachelor's degree in Computer Science, Engineering, or related discipline


Experience

  • 5 to 8 years of solutions design & development experience
  • Experience in building Data Ingestion/Transformation pipelines on Azure Cloud
  • Experience in BigData Tools like Spark, Delta Lakes, ADLS, Azure Synapse /Databricks
  • Proficient understanding of distributed computing principles


Knowledge and skills (general and technical)

  • Spark, Scala, Python
  • Azure Cosmos DB, Mongo DB
  • Azure Data Factory
  • ADLS-Gen2
  • Azure Data Lake
  • Azure Data Catalogue
  • Azure LogicApps & FunctionApps
  • Azure Synapse Analytics
  • Azure Databricks
  • Azure EventHub
  • Azure Functions
  • Azure SQL DB


About MetLife
Recognized on Fortune magazine's list of the 2024 "World's Most Admired Companies" and Fortune World's 25 Best Workplaces™ for 2024, 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 empathy, we're inspired to transform the next century in financial services.
At MetLife, it's #AllTogetherPossible . Join us!
#BI-Hybrid

Top Skills

Python
Scala
The Company
HQ: New York, NY
43,000 Employees
Hybrid Workplace
Year Founded: 1868

What We Do

Named one of Fortune’s “World’s Most Admired Companies,” MetLife is leading the global transformation of an industry we’ve defined for more than 150 years. At MetLife, every innovation and line of code is a lifeline for our customers and their families—from victims of natural disasters to people living with disabilities and beyond.  With operations in more than 40 markets and leading positions across the globe, MetLife’s building a workforce of diverse and empowered voices that all belong.  Join our remarkable journey—one in which you help write the next century of innovation in financial services—because with MetLife, making the world a better place is All Together Possible.

Why Work With Us

At MetLife, you’ll be working for a company whose purpose is to help customers throughout their life’s journey, and often in their most critical time of need. You’ll be a part of developing leading-edge platforms that will have a lasting impact on the lives and well-being of tens of millions of customers.

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