PUNE · FULLTIME
Associate Big Data Engineer
MetLife
Pune · onsite · Posted 4d ago
Sourced from
Undisclosed3–5 yrsfulltimePune
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Section · 01
About this role
Job Information
Position Title
Position Summary
Role Value Proposition
Job Responsibilities
Education
Technical Skills and Experience
Good to Have (Preferred)
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
- Location Pune, Maharashtra
- Working Schedule Full-Time
- Work Arrangement Hybrid
- Relocation Assistance Available No
Position Title
MGCC GG 9 - Associate Big Data Engineer
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 DA 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 are followed
- Collaborate with multiple partners from Business, Technology, Operations and DA 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 pipeline development
- Big Data Frameworks: Apache Spark, Hadoop, Hive
- Cloud platforms: Azure Data Factory, Eventhub, Azure Functions, Synapse, Databricks
- Data warehouses, data marts, data lakes
- Communication skills, analytical skills, structured problem-solving skills
Good to Have (Preferred)
- Exposure to Gen AI technology and tools
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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Section · 02
Skills
Apache SparkData Engineeranalytical thinkingcloud platformsApachedata architectureCosmos DBCOSMOScost centerAnalyticscloudCommunication SkillsArchitectureAzure Data FactorycomplianceMicrosoft AzureBig DataAzure FunctionsArtificial Intelligence
Section · Company
About MetLife
MetLife
Insurance
4k+
employees
2008
18 years old
New York
United States (USA)
₹9.3L PA avg
Avg at MetLife
About
As a global leader in protection planning, MetLife offers insurance and financial solutions, serving individuals and businesses in over 50 countries.
Industries
InsuranceFinancial Services
Employee ratings
10 reviews
4.0/ 5
Culture
3.5
Career growth
3.3
Work-life
3.7
Employees rate it well for
Job Security42Work-Life Balance42
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