Lead - Business Systems Analyst-Big Data
MetLife
- Hyderabad, Telangana
- Permanent
- Full-time
- Design and lead the development and delivery of efficient, scalable, and trustworthy data layers.
- Conduct source system analyses, understand current state technology and data infrastructure (on-prem, cloud) assess future state information needs and recommend data solutions.
- Contribute to hands-on development of data solutions.
- Author business & functional requirement documents, design for data delivery.
- Collaborate with business and technology partners to co-create solutions.
- Contribute to developing Data 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.
- Empathy led engagement with focus on stakeholder motivation, needs and aspirations.
- People leadership: talent acquisition, coaching and mentoring team.
- Bachelor's/ Master's degree in an information technology/computer science or relevant domain.
- 12+ years of solutions development experience, including 7+ years in data products & solutions delivery.
- Azure, Hadoop/Databricks, Hive, SQL.
- Solution architecture, data architecture, data analysis. Solutioning skills to build & implement trustworthy and efficient data layers for a variety of consumption needs such as reporting, advanced analytics, AI, data APIs et al
- Data classification, data lineage, data profiling and data quality, data transformation and data validation.
- Datawarehouse, data fabric, data lakes, data marts, data mesh, data stores.
- 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 governance, Data stewardship, Data operations, Data security
- AI in Cloud