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MetLife Mega off campus Drive

MetLife Mega off campus Drive 2023 | Associate Big Data Engineer/ Insurance Associate

MetLife Mega off campus Drive 2023 for Associate Big Data Engineer/ Insurance Associate Role. Any Graduate candidates can apply for the post.

MetLife Mega off campus Drive – Overview

  • Company – MetLife
  • Role – Associate Big Data Engineer/ Insurance Associate
  • Qualification – Any Graduate
  • Experience – 0-3 Years
  • Location – Hyderabad/ Noida
  • Salary – 3 LPA – 4 LPA

ABOUT MetLife COMPANY

MetLife, short for Metropolitan Life Insurance Company, is a leading global insurance and financial services company headquartered in New York City. With a history dating back to 1868, MetLife has established itself as one of the largest and most reputable insurance providers in the world. The company offers a wide range of insurance and financial products, including life insurance, annuities, employee benefits, and asset management services, serving millions of customers in over 60 countries. MetLife is known for its strong commitment to customer protection and financial stability, making it a trusted choice for individuals and businesses seeking insurance and financial solutions.

MetLife is hiring for Associate Big Data Engineer/ Insurance Associate Role

MetLife Mega off campus Drive – Roles & Responsibilities For Associate Big Data Engineer

  • Develop and maintain data pipelines, ensuring efficient data extraction, transformation, and loading (ETL) processes.
  • Collaborate with data scientists and analysts to implement data models and algorithms for advanced analytics.
  • Manage and optimize big data technologies and databases for high-performance data storage and retrieval.
  • Troubleshoot and resolve data-related issues, ensuring data accuracy and consistency.
  • Assist in designing and implementing data security and compliance measures to protect sensitive information.
  • Document data engineering processes and provide support for data-driven initiatives within the organization.
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MetLife Mega off campus Drive – Skills Required For Associate Big Data Engineer

  • Proficiency with hands on development experience on some of the key tools: HDFS, Hive, Spark, Scala, Java, 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.
  • Able to support/contribute towards designing of multi-tenant, containerized Hadoop architecture for memory/CPU management/sharing across different LOBs under the guidance of senior data engineers in the team.
  • Code versioning experience using Bitbucket. · Good communication skills both written and verbal.
  • Proficiency in project documentation preparation and other support as required. Additional skills (good to have):
  • Experience in Python and writing Azure functions using Python/Node.js
  • Experience using Event Hub for data integrations.
  • Supporting implementation of analytical data stores in Azure platform using ADLS/Azure data factory /Data Bricks and Cosmos DB (mongo/graph API)
  • Proficiency in using tools like Git, Bamboo and other continuous integration and deployment tools.
  • Exposure to data governance principles such as Metadata, Lineage (Colibra /Atlas) etc.

MetLife Mega off campus Drive – Roles & Responsibilities For Insurance Associate

  • Process bills / invoices and allocate cash.
  • Research website to review backup documentation.
  • Apply payments.
  • Send request for additional/missing information.
  • Process identified suspense items distributed by Tampa RPA’s.
  • Reconcile bank deposits to ensure items received daily are correct
  • Daily reporting of volumes
  • Notify Business of issues

MetLife Mega off campus Drive – Skills Required For Insurance Associate

  • Demonstrated ability to learn quickly and willingness to obtain
  • functional knowledge and understanding of business procedure and policies.
  • 0 months to 2.5 year of customer service/ Data Entry experience
  • College graduate
  • Good verbal & written communication skills.
  • Demonstrated ability to work in a team environment to improve the delivery of service to internal and external customers.
  • Strong organizational skills.
  • Demonstrated ability to manage stress
  • Basic computer skill
  • Ability to work various shifts within hours of operation. Flexibility is a must, as your shift can/will change to meet business needs.
  • Should have Problem Solving/Analytical Ability along with Judgment and Decision Making skills

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HOW TO APPLY FOR MetLife Mega off campus Drive 2023 ?

To apply for the MetLife Mega off campus Drive – interested candidates must follow the procedure outlined below:

  • Click on the “Apply here” button provided below. You will be redirected to company official career page.
  • Click on “Apply Online”.
  • If you have not registered before, create an account.
  • After registration, login and fill in the application form with all the necessary details.
  • Submit all relevant documents, if requested (e.g. resume, mark sheet, ID proof).
  • Provide accurate information in your application.
  • Verify that all the details entered are correct.
  • Submit the application process after verification.

INTERESTED CANDIDATES CAN APPLY THROUGH THE BELOW LINK

Associate Big Data Engineer Role – Hyderabad

Insurance Associate Role – Noida

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MetLife Mega off campus Drive 2023 – Frequently Asked Question?

What is the MetLife selection process?

The selection process will be based on a Written test followed by Technical and HR interviews.

What is the average salary for the post?

The average salary is 3 LPA – 4 LPA for the this role.

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DISCLAIMER:

The Recruitment Information Provided above is for Informational Purposes only . The above Recruitment Information has been taken from the official site of the Organization. We do not provide any Recruitment guarantee. Recruitment is to be done as per the official recruitment process of the company. We don’t charge any fee for providing this job Information.

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