Lead Big Data Engineer I

MetLife; Maharashtra; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

MetLife is seeking a Data Engineer with 12-14+ years of experience to design, build, and own robust ETL/ELT pipelines on cloud and on-prem environments. The role requires deep expertise in big data tech, data architecture, and cloud platforms to deliver scalable data solutions for analytics and reporting.

You will lead design efforts, mentor talent, and collaborate with Business, Technology, Operations, and D&A capabilities to ensure compliant, secure data processing and high-quality data

Qualifications

• 12-14+ years of relevant experience.
• Bachelor's degree in computer science, information technology or equivalent qualification.

Responsibilities

• Design, build, and maintain ETL/ELT pipelines on Azure or on-prem to process large volumes of structured and unstructured data.
• Solve complex business problems using data and advanced technologies.
• Monitor, optimize, and troubleshoot data pipelines for reliability and performance.
• Ensure data processing, quality, security, and compliance guidelines are followed.
• Lead design, solutioning, and estimations with stakeholder engagement.

Skills

SQL

Python/Scala

NoSQL

Spark

Hadoop

Hive

Cloud engineering

Communication

Education

Bachelor's degree in Computer Science/IT

Tools

Azure Data Factory

Event Hub

Azure Functions

Synapse

Databricks

Job description

GG12.1Role Value PropositionData 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. Expected to be highly proficent at technical skills. Besides contributing in individual capacity, this role also leads and develops Data and Analytics talentExperience12-14+ years of relevant experienceEducationBachelors degree in computer science, information technology or equivalent educational qualificationResponsibilities

• 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
• Solve complex business problems using data and advanced technologies
• 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)
• Independently lead design, solutioning & estimations
• Provide people leadership: coach, develop and engage talent Technical Skills
• SQL, Python/Scala
• NoSql and distributed databases (Hbase, Cosmos DB)
• ETL pipleine design and development; Solutioning and estimation
• Big Data Frameworks : Apache Spark, Hadoop, Hive
• Cloud platforms: Azure data factory, Eventhub, Azure functions, Synapse, Databricks
• Datawarehouses, data marts, data lakes
• Medallion architecture, and other design patterns
• Performance tuning, optimization, and data quality validation
• Real-time and batch data processing , streaming pieplines with Spark
• Communication skills, analytical skills, structured problem-solving skills,mentorship & people leadership skills
• Storytelling skills , Partner & Stakeholder engagement experience
• People leadership: talent development & engagement experienceGood To have
• DevOps practices: Git, AzureDevops, CI/CD pipelines
• Unix shell scripting, MongoDB, Nifi
• Lambda architecture, Kappa Architecture
• Exposure to Gen AI technology and tools
• Banking Financial Services and Insurance domain knowledge