Overview In this role you will shape the organization's big data journey by designing and implementing scalable data platforms. You will collaborate with IT and business teams to translate requirements into actionable big data use cases and ROI-focused roadmaps. You will lead the development of data lakes that coexist with enterprise data warehouses and leverage the Hadoop ecosystem for large-scale analytics. This position blends deep technical work with strategic planning to enable data-driven decision making. You will work in a professional, tech-driven environment focused on real-world customer needs.
Responsibilities- Build and optimize large-scale data lakes aligned with enterprise data warehousing
- Design data architectures within the Hadoop ecosystem (Hadoop, Hive, Pig, Oozie, MapReduce, Yarn)
- Collaborate with IT and business stakeholders to define roadmaps and Big Data use cases
- Implement NoSQL integrations (HBase, Cassandra) and data ingestion (Sqoop)
- Provide Java-based development input and scripting (Python, shell)
- Support transition initiatives toward a Big Data journey with measurable ROI
Key requirements- 10+ years in IT and data warehousing environments, preferably Teradata and Oracle DW
- 4+ years in Hadoop ecosystem
- Experience with HBase, Cassandra, Sqoop or other NoSQL tech
- Strong Core Java background; scripting skills in Python and shell
- Proven design and build experience for data lakes coexisting with data warehouses
- Techno-functional ability to translate business scenarios into Big Data use cases
- Retail or Healthcare domain knowledge is a plus
- cross-functional collaboration
- strategic thinking
- communication with IT and business stakeholders
- Hadoop
- Hive
- Pig
