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Mid LevelFull-timeAzure
Salary Range
$20,400 - $27,600 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
The Data Engineer is responsible for managing, operating, and supporting cloud-based data platforms. This role involves close collaboration with customers and internal teams to ensure stable, secure, and efficient operations of the cloud data ecosystem.
Key Responsibilities
- →Resolve data pipeline issues and perform proactive monitoring for sensitive and critical batch processes.
- →Conduct Root Cause Analysis (RCA) and retrospectives for incidents and operational issues.
- →Create, update, and maintain operational runbooks and manage entitlements as required.
- →Implement configuration changes to batch processes and underlying cloud infrastructure.
- →Manually control and manage pipeline executions during scheduled maintenance windows.
- →Perform on-demand operational changes based on instructions provided by the Data Engineering (L3) team.
- →Handle user service requests; for non-runbook-based requests, coordinate effectively with the L3 team.
- →Participate in Disaster Recovery (DR) testing activities (twice a year).
- →Support development and production data synchronization activities.
- →Represent the team in weekly change management board meetings.
Requirements
- ✓Strong hands-on experience with Azure Data Lake Storage, Databricks, Azure Data Factory, Azure Synapse Analytics, Snowflake, Azure Event Hub, Tidal Scheduler, Pyramid, Collibra, Power BI, Tableau, MicroStrategy (MSTR), and Alteryx.
- ✓Ability to read, write, and troubleshoot SQL queries and stored procedures.
- ✓Proven experience in configuring, managing, and troubleshooting cloud data platforms.
- ✓Strong analytical and problem-solving skills.
- ✓Excellent written and verbal communication skills, with the ability to clearly explain technical concepts to non-technical stakeholders.
- ✓Ability to work effectively in small teams while promoting collaboration and inclusiveness.
- ✓Bachelor’s degree in Computer Science or a related field.
- ✓3–6 years of hands-on experience in configuring and managing Azure-based data analytics solutions.
- ✓Prior experience working in Azure cloud environments is strongly preferred.
