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Data Engineer - ETL Data Warehouse

Role overview

Qualifications

  • Strong SQL and Complex queries
  • Expertise in developing applications using BI and Data warehouse technologies
  • Strong Unix, Shell Scripting, Autosys knowhow
  • Extensive experience PL/SQL Development, Database design, SQL performance tuning

Responsibilities

  • Develop applications using BI and Data warehouse technologies
  • Manage data using solid data management skills
  • Work with large scale Data Warehouses
  • Handle scheduling management technologies e.g. Autosys

About the company

Navitas Partners, LLC logo

Navitas Partners, LLC

IT Services & IT Consulting

Navitas Partners LLC is a diversity led business, headquartered in NJ, as a dynamic IT professional services and workforce solutions company. We believe creating the best solutions in human resource services means always going above and beyond - and people are our most important asset. Our β€œDNA” invokes core values of knowing, trusting and serving our relationships. The better we know our clients and candidates, the better our relationship, and the better we match the needs and exceed expectations. We want our client’s experience with us to reflect a transparent, professional and driven relationship. At Navitas Partners we strive for Excellence in People, and grow with you to become a true extension of your HR specific business requirements, while remaining sensitive to your price & business needs. Certified Diversity Employer: SBE β€’ WOSB β€’ WBE β€’ MBE β€’ NMSDC NAICS: 541511, 541512, 541513, 541519, 54164, 518210, 811212, 561320 https://form.jotform.com/223145471243247

Company details

Company typeSME
IndustryIT Services & IT Consulting
Company size51 - 200

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Job description

Position: Data Engineer - ETL Data Warehouse (Cloud T ransformation + Datawarehouse)
Location: Remote Role

Job Description:
  • Strong SQL and Complex queries
  • Strong SQL Experience and query writing ability.
  • Expertise in developing applications using BI and Data warehouse technologies
  • Strong Unix, Shell Scripting, Autosys knowhow
  • An extensive grounding in software development with solid data management skills.
  • Well versed with DDL, DMLs, DCLs and Data Storage and Data Retrieval mechanism for in premises (Data Warehouse / Data Mart) and Cloud based environments.
  • Experience working with large scale Data Warehouses.
  • Extensive experience PL/SQL Development, Database design, SQL performance tuning
  • Good understanding of Data Warehouse and Data Mart concepts with proven experience in both
  • Experience with Unix (preferably Linux)
  • Hands on experience with Source Code control tools.
  • Familiar with scheduling management technologies e.g. Autosys

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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