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ETL Developer

Nashville, TN 37202

Posted: 01/10/2024 Job Number: z5G7h3l6a1kMvyS65NP3c7ayNFPhCJeQEOHlT33MlwA= Pay Rate: N/A Hourly USD

Job Description


Overview:

Position’s Contributions to Work Group 
  • The team is growing and working through a major Systems Transformation and building a Data Warehouse in Snowflake.
  • The group previously only had a transactional system in Oracle and used DataStage for ETL.
  • This job will work in a team environment to develop necessary ETL jobs using Matillon/ActiveBatch.

 

Typical Day 
  • Work is either assigned through projects (typically in Azure DevOps) or ServiceNow.
  • Most efforts have some form of project update meeting or daily/weekly SCRUM.

 

Education Requirements:  
  • 5+ years’ experience in ETL work. Direct experience in Matillion is preferred.

 

Technical Skills 
  • Highly competent in Matillion, SQL, and have an ability to document well.

 

Soft Skills 
  • Strong communication skills with business users.
  • Strong collaboration with team members.
  • Ability to learn and apply new knowledge quickly.

 

Typical task breakdown:
  • Work is either assigned through projects (typically in Azure DevOps) or ServiceNow.
  • Most efforts have some form of project update meeting or daily/weekly SCRUM.

 

Interaction with team:
  • Highly collaborative environment.
  • We are a mix of Agile principles and Waterfall.

 

Work environment:

We are hybrid. We come in periodically to work in the office, but we are mostly from home. However, working full-time from the office is definitely a possibility if the resource preferred that.

 

Job Description Summary
 
ETL (Matillion) Developer
  • Understand your data sources.
  • Follow the groups processes and strategy for developing the job.
  • Handle data modeling, data warehouse architecture, data pipeline management, and ETL testing.
  • Utilize various data warehousing fundamentals for setting up a data warehouse.
  • Help to collect, manage, and analyze huge volumes of data for extraction, transformation, and loading.
  • Implement database structure, data marts, data stores, and data lakes.
  • Ensure high-end security and good quality of data.
  • Safeguard proper functioning of data once the transfer is done.
  • Seamless collaboration with data management teams on giving required data.
  • Testing the warehouse infrastructure/storage system prior to data extraction
  • Offer regular maintenance support.
  • Administering ETL tools, app integration, performance tuning
  • Working on technical/functional documentation
  • Monitor pre-decided ETL jobs and ensure resolution of discrepancies.

 

 
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