VP- Data Engineering
4 weeks ago
As Head of Data Engineering, you are part of Enterprise Architecture, Data & Integration team focusing on enhancing the overall availability, accessibility, and monetization of data across Max Life Business functions. You will be responsible for building hybrid and multi-cloud solutions with seamless integrations across multiple customer-facing digital assets, back-end systems, and external sources. You will manage the data solutions and engineering capabilities as a horizontal in IT function.
Your responsibilities include -
- Identifying the right technologies, defining data strategy & roadmap, institutionalizing architectural and engineering best practices to best benefit the organization
- Working closely with CDIO, COO, business heads, AI Works, Reporting and Analytics, software delivery teams you influence decisions across Max Life through data driven insights
- Working closely with CDIO, COO, business heads, AI Works, Reporting and Analytics, software delivery teams you influence decisions across Max Life through data driven insights
- You bring deep technical expertise in designing and delivering high performance, scalable, secure & flexible data platforms i.e., Lakehouse, Data Quality, Data Governance, Data Integration, MDM solutions using innovative/emerging technologies including cloud native and agnostic platforms.
Desired qualifications and experience:
- B.E / MCA / MBA from a reputed institute
- 15+ years of experience with technical analysis, architecting and implementation of data warehousing and data lake solutions on-premises and on-cloud (preferably AWS Native Lake Platform and services, Glue, EMR, DMS, Redshift)
- 10+ years of hands-on experience data engineering & modelling, reporting, analytics platforms – Relational Database, NoSQL, Hadoop, SPARK, Informatica, CDC, SAS, Visualization and Dashboarding tools/libraries, BODS, Apache NiFi, EMR, Erwin and/or Rational Rose, real-time data streaming tools (Kafka, kinesis) etc.
- Should have architected and delivered at least 3+ EDW, Data Lake projects.
- 5+ experience of designing and modernizing existing data stores/EDW on cloud platform.
- Experience in Insurance and BFSI domain is a plus.
- Experience in presenting data strategy and architecture for specific business needs to peers and senior management.
- Should be working or should have worked with reputed organizations or startups
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