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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