Position Summary
Role Value Proposition:
Work and collaborate with a nimble, autonomous, cross-functional team of makers, breakers, doers, and disruptors who love to solve real problems and meet real customer needs.
You will be using cutting-edge technologies and frameworks to analyze data, to help create the pipeline, and collaborate with the data science team to enable the innovative work in machine learning and AI.
Eagerness to learn new technologies on the fly and ship to production
Knowledge in data science is a plus
More than just a job we hire people who love what they do!
Job Responsibilities
Knowledge, Skills and Abilities
Education
- Bachelor's degree in Computer Science, Engineering, or related discipline
Experience
- 4+ years of solutions development experience
- Proficiency and extensive Experience with Spark & Scala, Python and performance tuning is a MUST
- Hive database management and Performance tuning is a MUST. (Partitioning / Bucketing)
- Strong SQL knowledge and data analysis skills for data anomaly detection and data quality assurance.
- Strong analytic skills related to working with unstructured datasets.
- Experience with building stream-processing systems, using solutions such as Storm or Spark-Streaming
- Experience in any model management methodologies.
Knowledge and skills (general and technical)
Required:
- Proficiency and extensive experience in HDFS, Hive, Spark, Scala, Python, Databricks/Delta Lake, Flume, Kafka etc.
- Analytical skills to analyze situations and come to optimal and efficient solution based on requirements.
- Performance tuning and problem-solving skills is a must
- Hive database management and Performance tuning is a MUST. (Partitioning / Bucketing)
- Hands on development experience and high proficiency in Java or, Python, Scala, and SQL
- Experience designing multi-tenant, containerized Hadoop architecture for memory/CPU management/sharing across different LOBs
Preferred:
- Proficiency and extensive Experience with Spark & Scala, Python and performance tuning is a MUST
- Hive database management and Performance tuning is a MUST. (Partitioning / Bucketing)
- Strong SQL knowledge and data analysis skills for data anomaly detection and data quality assurance.
- Knowledge in data science is a plus
- Experience with Informatica PC/BDM 10 and implemented push down processing into Hadoop platform, is a huge plus.
- Proficiency is using tools Git, Bamboo and other continuous integration and deployment tools
- Exposure to data governance principles such as Metadata, Lineage (Colibra /Atlas) etc.
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!
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What We Do
Named among the World’s Most Admired Companies™ by Fortune and recognized in the Fortune 100 Best Companies to Work For® list in 2025, MetLife is leading the global transformation of an industry we’ve defined for more than 155 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 fosters an inclusive culture where our people are energized and inspired to deliver for our customers and communities. 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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Hybrid Workspace
Employees engage in a combination of remote and on-site work.
MetLife's current workplace policies classify roles as Office, Hybrid or Virtual based on the nature of work, encouraging new ways of working together
