01Requirements
MUST Technical 5+ years of experience in Data Warehouse/Data Lake/Lake House related projects in product or service-based organization Expertise in Data Engineering and implementing multiple end-to-end DW projects in Big Data environment handling petabyte scale data. Solid Experience of building complex data pipelines through Spark with Scala/Python/Java on Hadoop or Object storage Experience of working with Databases like Oracle, Netezza and have strong SQL knowledge. Proficient in working within an Agile/Scrum framework, including creating user stories with well-defined acceptance criteria, participating in sprint planning and reviews Optional Technical Experience of building Nifi pipelines (Preferred) Strong analytical skills required for debugging production issues, providing root cause and implementing mitigation plan Strong communication skills - both verbal and written .
