Overview
Full Time
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - Long Term
Skills
Python
SQL
spark
ETL
Devops
Scala
PYSpark
Databricks
Databricks SQL
Job Details
Job Title: Data Engineer/Software Engineer
Duration: 6 Months Contract with possible extension
Location: Remote
Job 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
Keywords: Al/BI dashboards, SQL, Python, Spark, Scala, Databricks, ETL, DevOps, Pyspark, Databricks SQL
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