Software Platform Engineer II
MetLife (company site, opens in a new tab)PuneOn-siteDirect career pageEst. 12–22 LPA
Posted on 22 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain scalable data pipelines and curated datasets to power analytics, reporting, and data products using modern cloud and data engineering tools.
- Build and support batch and streaming ETL/ELT pipelines, data ingestion from various sources, and data quality monitoring including validation and reconciliation.
- Collaborate with analysts, product owners, and engineers to understand data needs; contribute to documentation, code reviews, incident resolution, and compliance with data governance/security policies.
Minimum Requirements
- Bachelor's degree in Computer Science or equivalent.
- Experience with SQL (DDL, DML, joins, aggregations, stored procedures, window functions) and programming in Python (preferred) or Java/Scala.
- Exposure to Azure cloud platform services including Data Lake, Blob/Object storage, Spark/Databricks/Synapse, Event Hub/Azure Stream Analytics, and orchestration tools like Synapse and ADF pipelines.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in building and maintaining data engineering pipelines in a cloud environment with a focus on data quality, security, and performance.
- Comfortable working across teams including product management, DevOps, and business stakeholders to deliver high-quality data solutions and documentation.
- Has practical knowledge of data modelling (star schema, slowly changing dimensions), DevOps basics (CI/CD pipelines, IaC tools like Terraform), and debugging/troubleshooting pipelines.