Data Engineer

  • Santa Clara, CA
  • Posted 23 hours ago | Updated 22 hours ago

Overview

On Site
$$35hr - $40hr
Contract - W2
Contract - 1 day((s))

Skills

Data Engineer

Job Details

Job Description:

Pay Range: $35hr - $40hr
  • The Data Engineering and Power BI Support Specialist is responsible for onboarding teams to enterprise data lake environments, managing user access, resolving data and reporting-related issues, and ensuring smooth platform operation.
  • This role supports both data engineering environments and Power BI users by handling access requests, monitoring usage, troubleshooting issues, and collaborating with internal teams for platform optimization.

Responsibilities:

  • Onboard teams on EDL/EDSP clusters.
  • Share documentation on data ingestion, processing, storage, and access services
  • Guide users through token refresh processes and resolve token expiry issues
  • Monitor the Slack channel for user queries and respond accordingly
  • Assist users with data-related inquiries and provide timely resolutions
  • Collaborate with the SRE team to address data lake operations tickets and escalate issues as needed.
  • Offer feedback for platform improvements based on user experiences.
  • Share documentation and respond to end-user Power BI questions.
  • Triage and resolve Power BI issues while communicating effectively with users.
  • Assist with workspace upgrades and coordinate administrative approvals.
  • Monitor IT Power BI capacity utilization and take corrective actions.
  • Ensure performance and quality of Power BI reports and dashboards.
  • Coordinate with the enterprise data lake team for Power BI-related issues.
Skills:
  • Data Engineering Support.
  • Power BI Support.
  • Data Lake.
  • ETL / ELT.
  • Databricks.
  • Python.
  • Apache Spark.
  • SQL.
  • PowerShell (optional).
  • Azure Data Lake.
  • AWS Data Lake.
  • Enterprise Data Lake (EDL/EDSP).
  • Power BI Premium.
  • IT Capacity Monitoring.
  • ServiceNow.
  • Jira.
  • Slack.
  • Monitoring Tools.
Should Have:
  • End-user support experience.
  • Documentation and knowledge-sharing capabilities.
  • Issue triage and resolution skills.
  • Strong communication and collaboration abilities.
  • Attention to detail and problem-solving mindset.
Qualification And Education:
  • Bachelor's degree in Computer Science, Information Technology, or a related field.
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