27 Aug
|
MetLife
|
Hyderabad
Azure Platform Architecture &
- Administration
- Design and manage a secure, scalable Azure-based data platform to support marketing and customer analytics.
- Administer and optimize Azure services including Azure Data Factory, Azure Databricks, Azure SQL Database, Azure Synapse Analytics, and Key Vault.
- Implement robust monitoring, alerting, and cost optimization for the Azure data workplace.
- Ensure platform availability, data pipeline reliability, and high performance for downstream consumption.
- Establish and manage Azure Data Lake Storage (ADLS) structures, security models, and performance optimization strategies.
- Monitor platform health, performance, and cost usage; implement automation to improve efficiency and reliability
Data Engineering &
- ETL/ELT Pipelines
- Architect and implement ETL/ELT pipelines using Databricks (PySpark, SQL, Delta Lake) and Azure Data Factory.
- Optimize data ingestion, transformation, and storage for big data workloads and real-time streaming.
- Work with stakeholders to design data models, schemas, and APIs supporting analytics and operational needs.
- Ensure data quality, lineage, and governance through integration with tools such as Purview or equivalent.
- Build robust data transformations and aggregations to support marketing dashboards and customer 360 views.
- Optimize Python jobs, SQL queries, and data flows for performance and scalability.
Integration with Marketing Platforms
- Integrate marketing data from platforms such as Salesforce, Adobe Experience Platform, Adobe Analytics, Facebook Ads, HubSpot, and CRM systems.
- Work with MarTech and Marketing Ops teams to ensure clean,
timely data feeds for campaigns.
- Build APIs, REST connectors, or use tools such as Azure Logic Apps, Azure Functions, and API Management.
Power BI Support and Semantic Layer Design
- Provide data models and optimized datasets to support Power BI dashboards for marketing.
- Collaborate with BI developers on semantic models using Synapse SQL Serverless or Power BI Datasets.
- Ensure data freshness and efficient refresh cycles for marketing reports.
Data Governance, Security &
- Compliance
- Implement data access controls, encryption, and auditing using Azure RBAC, Purview, and Private Endpoints.
- Ensure compliance with GDPR, CCPA, and internal policies.
- Define and manage metadata, data dictionaries, and quality processes.
Agile Project Delivery &
- Stakeholder Engagement
- Work in Agile teams providing estimates and delivery timelines for marketing use cases.
- Collaborate with marketing analytics, Martech, and Marketing data platform teams to prioritize backlog items.
- Translate marketing needs into platform capabilities and deliverables.
DevOps &
- Infrastructure as Code (IaC)
- Establish DevOps practices for CI/CD pipeline development, deployment, and testing for data workflows using Azure DevOps or GitHub Actions.
- Manage source control, release management, and environment configuration for data engineering components (ADF, Databricks, Synapse).
- Automate deployment of data pipelines and related resources with rollback strategies and deployment validations.
- Set up monitoring and alerting for CI/CD pipelines and infrastructure health using tools like Azure Monitor, Log Analytics, or Application Insights.
📌 Lead Software / Platform Engineer II (Hyderabad)
🏢 MetLife
📍 Hyderabad