Macpower Digital Assets Edge
JOB SUMMARY:
Collaborate with the Technical Lead (TL) to understand ongoing migration and transformation initiatives.
Provide hands-on technical support and troubleshooting as needed.
ssist 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.
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. bility 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. RESPONSIBILITIES:
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.
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. bility 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. RESPONSIBILITIES:
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.