Software Engineer

Macpower Digital Assets Edge LLC
Mountain View, CA, United States
7 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$95,202.0 - $114,254.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Confluence JIRA Information Engineering Extract Transform Load (ETL) Data Visualization DevOps Java Development Kit Python (Programming Language) Software Engineering SQL Databases Apache Spark
+3 more
Slack Data Pipelines Databricks

Job description

  • Collaborate with the Technical Lead (TL) to understand ongoing migration and transformation initiatives.
  • Provide hands-on technical support and troubleshooting as needed.
  • Assist in documenting migration processes and establishing best practices.
  • Help transition legacy release pipelines to new RPCFG configurations.
  • Support JDK migration efforts to ensure seamless transitions with minimal downtime.
  • Conduct testing and validation to confirm successful migrations.
  • Work with cross-functional teams, including Data Engineering, DevOps, and Software Development.
  • Provide weekly status updates, lead knowledge-sharing sessions, and document key findings to strengthen team capabilities., * Develop and enhance AI/BI dashboards on the Databricks platform.
  • Design and implement data visualization solutions to support BI reporting.
  • Perform data engineering tasks, including creating, maintaining, and optimizing pipelines.
  • Improve existing ETL processes for scalability and efficiency.
  • Ensure data accuracy and integrity through collaboration with internal teams.
  • Provide documentation and lead knowledge transfer sessions for deployed solutions.
  • Deliver weekly status reports and create clear SOPs and documentation for implemented dashboards.

Requirements

  • Proven experience developing AI/BI dashboards using Databricks.
  • Proficiency in SQL, Python, and Spark for data engineering tasks.
  • Knowledge of data pipeline design, implementation, and maintenance.
  • Ability to work both independently and collaboratively across teams.
  • Strong analytical and problem-solving abilities.
  • Familiarity with project management tools such as Jira, Confluence, and Slack.

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