GG11.1Role 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. This role mentors Data engineers.

It is an individual contributor role, expected to solve wide ranging business problems, Experience8-10+ 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

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 & estimationsTechnical 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 experienceGood 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

📌 Senior Big Data Engineer- 1 (Pune)
🏢 MetLife
📍 Pune