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Senior AWS Data Engineer

Role overview

Qualifications

  • Strong experience with Amazon Redshift or Snowflake/Google BigQuery
  • Advanced SQL skills
  • Strong understanding of Data Warehouse concepts and Dimensional Modelling
  • Strong hands-on experience with Python for data engineering

Responsibilities

  • Data analysis and problem-solving
  • Experience with Git-based CI/CD tools
  • Leverage AI-assisted development tools
  • Support production data pipelines and troubleshooting

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 “DNA” 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 • WOSB • WBE • MBE • 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

Senior AWS Data Engineer Open Positions: 5

Experience: 6–12 Years
Joining: Immediate / Earliest Available
Mandatory Skills
  • Strong experience with Amazon Redshift (Candidates with strong Snowflake or Google BigQuery experience can also be considered.)
  • Advanced SQL skills with experience writing and optimizing complex queries.
  • Strong understanding of Data Warehouse concepts and Dimensional Modelling (Star & Snowflake Schemas).
  • Strong hands-on experience with Python for data engineering and automation.
  • Excellent Data Analysis and problem-solving skills.
  • Experience with Git-based CI/CD (GitHub/GitLab).
  • Experience leveraging AI-assisted development tools (GitLab Duo, Gemini, Copilot, ChatGPT, or similar) to improve engineering productivity.
Preferred Skills
  • Experience with orchestration tools such as Apache Airflow, Mage, or equivalent.
  • Hands-on experience with AWS services such as S3, RDS PostgreSQL, and IAM.
  • Experience with dbt.
  • Experience supporting production data pipelines, troubleshooting issues, and handling day-to-day engineering operations.
Soft Skills
  • Agile development experience.
  • Strong ownership, communication, and collaboration skills.
  • Curious mindset with a passion for continuous learning and process improvement.

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Marcus Rivera

Chief Revenue Officer

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