Description

  • Work alongside the Technical Lead (TL) to understand ongoing migration and transformation projects.
  • Provide hands-on support and troubleshooting as needed.
  • Assist in documentation of migration processes and best practices.
  • Assist in transitioning legacy release pipelines to new rpcfg configurations.
  • Support JDK migration efforts, ensuring smooth transitions with minimal downtime.
  • Conduct testing and validation to confirm successful migrations
  • Work with cross-functional teams, including Data Engineering, DevOps, and Software Development teams.
  • Provide weekly status updates,  knowledge-sharing sessions and document findings to enhance team capabilities

 

Scope of Work:

  • Develop and enhance Al/BI dashboards using Databricks.
  • Design and implement data visualization solutions to support business intelligence reporting.
  • Perform basic data engineering tasks, including creating, updating, and maintaining data pipelines.
  • Optimize existing ETL processes for efficiency and scalability.
  • Collaborate with internal teams to ensure data accuracy and integrity.
  • Provide documentation and knowledge transfer sessions for developed solutions.
  • Provide weekly status updates, create clear SOP's, and documentation for implemented dashboard solutions.

Qualifications:

  • Expertise in developing Al/BI dashboards using Databricks.
  • Experience with SQL, Python, and Spark for data engineering tasks.
  • Knowledge of data pipeline creation and maintenance.
  • Ability to work independently and collaborate with cross-functional teams.
  • Strong analytical and problem-solving skills.
  • Project management tools like Jira, Confluence, slack

Key Skills
Education

Any Gradute

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