&nbsp;
Interview Process: Round 1: zoom interview with 2-3 people panel, Round 2:&nbsp;In-Person at any JPMC location&nbsp;
Must Have Skills:
&middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Deep knowledge in Databricks &amp; AWS eco-systems
&middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Delta Lake + Lake house architecture (Lake flow, Lake Base)&nbsp;
&middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; PySpark/Scala Spark
&middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; High volume Production-grade Databricks ELT/ETL engineering&nbsp;
&middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Streaming/DLT experience&nbsp;
&middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; ML Ops on Databricks
&middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Data Mesh architecture knowledge
&middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Advance cost/performance engineering
&middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Databricks &amp; AWS data engineer

Sr. Databrick Developer

Job Overview

Job Description