The role involves designing and maintaining ETL/ELT pipelines on Azure, ensuring data quality and compliance, and mentoring other data engineers.
Description and Requirements
Position Summary
MetLife established a Global capability center (MGCC) in India to scale and mature Data & Analytics , technology capabilities in a cost-effective manner and make MetLife future ready. The center is integral to Global Technology and Operations with a 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. This role requires one to demonstrate Big Data, Engineering and Cloud expertise. This role mentors Data engineers. It is an individual contributor role, expected to solve wide-ranging business problems.
Job Responsibilities
• 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
• Monitor, optimize, and troubleshoot data pipelines to ensure reliability, scalability, and performance
• 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)
• Mentor Data Engineers
• Independently lead design, solutioning & estimations
Education, Technical Skills & Other Critical Requirement
Education
Bachelor's degree in computer science, Engineering, or related discipline
Experience (In Years)
8 to 10 years of working experience on Azure Cloud
Technical Skills
1. SQL, Python/Scala
2. NoSQL and distributed databases (HBase, Cosmos DB)
3. ETL pipeline design and development; Solutioning and estimation
4. Big Data Frameworks: Apache Spark, Hadoop, Hive
5. Cloud platforms: Azure data factory, EventHub, Azure functions, Synapse, Databricks
6. Data warehouses, data marts, data lakes
7. Medallion architecture
8. Performance tuning, optimization, and data quality validation
9. Real-time and batch data processing, streaming pipelines with Spark
10. Communication skills, analytical skills, structured problem-solving skills, mentorship skills
11. Mentorship experience
12. Storytelling skills, Partner & Stakeholder engagement experience
Other Preferred Skills
1. DevOps practices: Git, AzureDevops, CI/CD pipelines
2. Unix shell scripting, Kafka,MongoDB, Nifi
3. Exposure to Gen AI technology and tools
4. Banking Financial Services and Insurance domain knowledge
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!
#BI-Hybrid
Position Summary
MetLife established a Global capability center (MGCC) in India to scale and mature Data & Analytics , technology capabilities in a cost-effective manner and make MetLife future ready. The center is integral to Global Technology and Operations with a 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. This role requires one to demonstrate Big Data, Engineering and Cloud expertise. This role mentors Data engineers. It is an individual contributor role, expected to solve wide-ranging business problems.
Job Responsibilities
• 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
• Monitor, optimize, and troubleshoot data pipelines to ensure reliability, scalability, and performance
• 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)
• Mentor Data Engineers
• Independently lead design, solutioning & estimations
Education, Technical Skills & Other Critical Requirement
Education
Bachelor's degree in computer science, Engineering, or related discipline
Experience (In Years)
8 to 10 years of working experience on Azure Cloud
Technical Skills
1. SQL, Python/Scala
2. NoSQL and distributed databases (HBase, Cosmos DB)
3. ETL pipeline design and development; Solutioning and estimation
4. Big Data Frameworks: Apache Spark, Hadoop, Hive
5. Cloud platforms: Azure data factory, EventHub, Azure functions, Synapse, Databricks
6. Data warehouses, data marts, data lakes
7. Medallion architecture
8. Performance tuning, optimization, and data quality validation
9. Real-time and batch data processing, streaming pipelines with Spark
10. Communication skills, analytical skills, structured problem-solving skills, mentorship skills
11. Mentorship experience
12. Storytelling skills, Partner & Stakeholder engagement experience
Other Preferred Skills
1. DevOps practices: Git, AzureDevops, CI/CD pipelines
2. Unix shell scripting, Kafka,MongoDB, Nifi
3. Exposure to Gen AI technology and tools
4. Banking Financial Services and Insurance domain knowledge
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!
#BI-Hybrid
Top Skills
Spark
Azure Data Factory
Azure Functions
Cosmos Db
Databricks
Eventhub
Hadoop
Hbase
Hive
NoSQL
Python
Scala
SQL
Synapse
Similar Jobs at MetLife
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
The Senior Test Consultant I role involves designing, building, and maintaining ETL/ELT pipelines, optimizing data processing, and mentoring Data Engineers while ensuring compliance and data quality.
Top Skills:
SparkAzure Data FactoryAzure FunctionsCi/Cd PipelinesCosmos DbDatabricksEventhubHadoopHbaseHiveKafkaMongoDBNifiPythonScalaSQLSynapseUnix Shell Scripting
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
The Senior Test Consultant I role involves designing, building, and maintaining ETL/ELT pipelines on cloud platforms, ensuring data quality and compliance, and collaborating with various stakeholders to optimize data processing.
Top Skills:
SparkAzure Data FactoryAzure FunctionsCosmos DbDatabricksEventhubHadoopHbaseHiveMongoDBNifiPythonScalaSQLSynapseUnix Shell Scripting
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Lead the technology services team, focusing on enterprise hardware and software installation, maintenance, network and storage management, while ensuring excellent customer service and documentation.
Top Skills:
PowershellVbscriptVmware EsxWindows 2008Windows 2012Windows 2016Windows 2022
What you need to know about the Mumbai Tech Scene
From haggling for the best price at Chor Bazaar to the bustle of Crawford Market, the energy of Mumbai's traditional markets is a key part of the city's charm. And while these markets will always have their place, the city also boasts a thriving e-commerce scene, ranking among the largest in the region. Driven by online sales in everything from snacks to licensed sports merchandise to children's apparel, the local industry is worth billions, with companies actively recruiting to meet the demands of continued growth.
