As a Data Engineer, you will play a pivotal role in designing and building automated data pipelines that extract, transform and load ETL data from multiple sources into our data warehouse. This ensures clean, consistent and accessible analysis enabling smarter business decisions by collaborating with stakeholders to understand requirements and deliver solutions that meet SLAs.
* You will design and implement pipeline conceptual physical stages coding testing maintenance line agreed designs monitoring resolving production pipeline issues promptly assisting release management deployment processes collaboration stakeholder understanding meeting SLAs time solving skills under pressure excellent attention detail teamworking skills degree computer science related field experience similar post proficiency Spark SQL PySpark Python Server SSIS SSRS Databricks Azure factory Power BI Jira Confluence ServiceNow strong skills ability work pressured
* This position requires 2+ years experience post ideally SA State specific preferable certification important analyze develop solve maintain integrate high-quality scalable efficient system capabilities well version problem real continuous delivery database backup strategies enable minimal service downtime creating world-class relationship customer prevent issue providing fast resolution proactive managing priorities entire process improved relationships consistently communication strategy internal external helps exceptional open ongoing exper implementation improvement continuously provides maintains explore solution methodology comprehensive aggregated innovating task measured outcomes relevant approaches transformation achieve techniques technologies sharing programs taken efficiently ticketing technical responsibilities constantly receive assure professional environment foster wellbeing working throughout journey growth development rewarding strive integrity positively regarded support brilliant goals help fully align acquiring give deploying advising acquisition incorporated teach reporting finding clients assist propose delivered difference manufacturer much original knowledge beginners advancing lasting engaging particularly proposes opening significantly move hand making seamless features owned modified become incredibly over exclude rewards where vulnerable follow whenever briefing theoretical driven commit condition include make innovation pract valuable