Senior Data Engineer in Covington

Energy Jobline
Covington, GA, United States
17 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Compensation
$124,800.0 - $145,600.0
Working hours
Regular working hours

Tech stack

Agile Methodology Amazon Web Services Microsoft Azure Cloud Computing Databases Continuous Integration Extract Transform Load (ETL) Data Systems Systems Analysis Python (Programming Language) MySQL Query Optimization
+12 more
Power BI SQL Stored Procedures SQL Databases Tableau (Software) Toolchain Scripting Snowflake Git Git Flow Code Restructuring Data Pipelines Jenkins

Requirements

Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance., * 5+ years in technology with 3+ years delivering data solutions. \n

  • Strong SQL expertise with experience in stored procedures and complex query tuning. \n

  • Hands-on Python for ELT and scripting. \n

  • ETL/ELT experience, preferably with Informatica or similar platforms. \n

  • CI/CD experience with Jenkins, Git, and related toolchains. \n

  • Systems analysis background with legacy process refactoring. \n

  • Agile team experience and effective written and verbal communication. \n

  • exposure to MySQL and Snowflake, and cloud concepts in Azure or AWS. \n

  • Business intelligence familiarity with Tableau or Power BI is a plus. \n

Benefits & conditions

  • Implement and maintain CI/CD pipelines, including Jenkins pipelines to deploy Python applications. \n

  • Conduct QA and testing using established methodologies to ensure data quality and reliability. \n

  • Collaborate with cross-functional teams in an Agile framework to deliver data capabilities. \n

  • Analyze legacy processes, perform decomposition, debugging, tuning, and refactoring. \n

  • Contribute to data solution design across single and multi-tenant environments. \n

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