Data Engineer
October 31
Description
• BI Tools: Spotfire, Power BI – Nice to have Tableau – Nice to have • ETL Tools: Databricks, Spark - nice to have • Data Pipeline in Azure Data Factory • Cataloging Tools, Governance, Data Quality • Programming Languages: Python - Pandas, PySpark, SQL, Kusto query language (Kql) • DevOps: Azure DevOps, GitHub, WITSML - Nice to have • Datastores: Azure SQL, Snowflake, ADX, ADLS, OSDU – Nice to have, Oracle - Nice to have, MongoDB – Nice to have • Azure: PaaS, Storage Accounts, Containers, Subscriptions, Resource groups - Nice to have • Agile Scrum
Requirements
• Advanced querying and modeling techniques • Working with Time Series Data • Working with REST APIs for Ingesting/Querying data • ADVANCED CONVERSATIONAL ENGLISH ESSENTIAL (Will be evaluated).
Benefits
• Excellent superior benefits.
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