Associate Big Data Engineer
Job Description
MGCC GG 9 – Associate Big Data Engineer
Position Title
MGCC GG 9 – Associate Big Data Engineer
Function, Responsibility Level
Reports to (Responsibility Level): GG 11 or above
Supervises
Location:
Global Grade: 9
Cost Center (85 Series)
Complexity: OSTG
PID/s Load Mapping
Position Summary
MetLife established a Global capability center (MGCC) in India to scale and mature Data & Analytics, technology and operations capabilities in a cost-effective manner and make MetLife future ready. The center is integral to Global Technology and Operations with a focus to protect & build MetLife IP, promote reusability and drive experimentation and innovation. The Data & Analytics team in India mirrors the Global D&A team with an objective to drive business value through trusted data, scaled capabilities, and actionable insights. The operating models consists of business aligned data officers- US, Japan and LatAm & Corporate functions enabled by enterprise COEs- data engineering, data governance and data science
Role Value Proposition
Data Engineer plays a critical role in data and analytics life cycle and significantly contributes to production grade data and analytics solutions. The role requires one to demonstrate Big Data, Engineering and Cloud expertise. It is an individual contributor role under the guidance of senior colleagues
Job Responsibilities
Education
Bachelor's degree in computer science, information technology or equivalent educational qualification
Technical Skills And Experience
Position Title
MGCC GG 9 – Associate Big Data Engineer
Function, Responsibility Level
Reports to (Responsibility Level): GG 11 or above
Supervises
Location:
Global Grade: 9
Cost Center (85 Series)
Complexity: OSTG
PID/s Load Mapping
Position Summary
MetLife established a Global capability center (MGCC) in India to scale and mature Data & Analytics, technology and operations capabilities in a cost-effective manner and make MetLife future ready. The center is integral to Global Technology and Operations with a focus to protect & build MetLife IP, promote reusability and drive experimentation and innovation. The Data & Analytics team in India mirrors the Global D&A team with an objective to drive business value through trusted data, scaled capabilities, and actionable insights. The operating models consists of business aligned data officers- US, Japan and LatAm & Corporate functions enabled by enterprise COEs- data engineering, data governance and data science
Role Value Proposition
Data Engineer plays a critical role in data and analytics life cycle and significantly contributes to production grade data and analytics solutions. The role requires one to demonstrate Big Data, Engineering and Cloud expertise. It is an individual contributor role under the guidance of senior colleagues
Job Responsibilities
- Under the guidance of senior colleagues- 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
- 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)
Education
Bachelor's degree in computer science, information technology or equivalent educational qualification
Technical Skills And Experience
- 3-5+ years of relevant experience
- SQL, Python/Scala
- NoSql and distributed databases (Hbase, Cosmos DB)
- ETL pipleine development
- Big Data Frameworks: Apache Spark, Hadoop, Hive
- Cloud platforms: Azure data factory, Eventhub, Azure functions, Synapse, Databricks
- Datawarehouses, data marts, data lakes
- Communication skills, analytical skills, structured problem-solving skills.,
- Exposure to Gen AI technology and tools
More Info
Key Skills
About Company