Job Description

Location(s)

• Posting Location: Hyderabad, India

CountryIndiaWorking ScheduleFull-TimeWork ArrangementHybridRelocation Assistance AvailableNoPosted Date29-Apr-2024Job ID3172Description and RequirementsJob Responsibilities

• Analyze business data requirements and develop comprehensive architecture plans along with enterprise architects.
• Design and lead the development and delivery of efficient, scalable, and trustworthy data layers & data solutions.
• Work with BSA\xe2\x80\x99s to understand data lineage, understand current state technology and data infrastructure (on-prem, cloud) assess future state information needs and recommend solutions.
• Collaborate with business and technology partners to co-create enterprise architecture solutions.
• Contribute to developing Data solution roadmaps.
• Deliver products and solutions in a timely, proactive, and entrepreneurial manner.
• Institutionalize best practices, contribute to research and experimentation efforts.
• Accelerate solution delivery using re-usable frameworks, prototypes, and hackathons.
• Stay updated on the industry trends to incorporate the latest technologies into their solutions.
• Empathy led engagement with focus on stakeholder motivation, needs and aspirations.
• Present solution architecture to Business, BSA\xe2\x80\x99s, and delivery teams.

Education, Technical Skills & Other Critical Requirement

• Bachelor\xe2\x80\x99s/ Master\xe2\x80\x99s degree in an information technology/computer science or relevant domain.
• 10+ years of solutions development experience, including 7+ years in data products & solutions delivery.
• Azure BigData ecosystem, Synapse/Databricks Spark, Data Factory, Functions, Event Hub, Cosmos DB, Azure SQL DB, Delta LakeSolution architecture, data architecture, data analysis.
• Solutioning skills to build & implement trustworthy and efficient data layers for a variety of consumption needs such as data API, reporting, and advanced analytics.
• Data classification, data lineage, data profiling and data quality, data transformation and data validation.
• Datawarehouse, data fabric, data lakes, data marts, data mesh concepts.
• Experience working with large and complex internal, external, structured, and unstructured datasets.
• Responsible development of Data solutions. Detailed technical documentation for solutions.
• Agile methodologies & tools.
• Excellent written and verbal communication skills; discuss technical issues with peers, business stakeholders and senior management.
• Industry knowledge about emerging Cloud, Data trends, tools and technologies
• Data pipeline development experience, data operations and security implementations is a plus
• Azure Data Certified Professionals
• Cloudera or Databricks certified professionals
• Insurance business knowledge is a plus

MetLife