Senior Big Data Engineer I
MetLife · Pune · onsite · Posted 47d ago
Undisclosed10–15 yrsfulltimeSourced from
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About this role
Job Summary
Responsibilities
Technical Skills
Good To Have
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.
GG11.1 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. This role mentors Data engineers. It is an individual contributor role, expected to solve wide ranging business problems, Experience 8-10+ years of relevant experience Education Bachelors degree in computer science, information technology or equivalent educational qualification
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 DA capabilities (Data Governance, Data Quality, Data Modeling, Data Architecture, Data science, DevOps, BI insights)
- Mentor Data Engineers
- Independently lead design, solutioning estimations
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
- 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 skills
- Mentorship experience
- Storytelling skills , Partner Stakeholder engagement experience
Good To Have
- DevOps practices: Git, AzureDevops, CI/CD pipelines
- Unix shell scripting, Kafka,MongoDB, Nifi
- Exposure to Gen AI technology and tools
- Banking Financial Services and Insurance domain knowledge
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.
Sourced from naukri
Skills
Apache SparkCI/CD Pipelinesanalytical thinkingcloud platformsApachedata architectureCosmos DBCOSMOSAnalyticsBankingcloudCommunication SkillsArchitectureAzure Data FactorycomplianceMicrosoft AzureBig DataAzure FunctionsArtificial Intelligence
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
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