Offer summary

Qualifications:

Strong SQL skills and experience with complex queries., Expertise in BI and Data warehouse technologies., Proficiency in Unix, Shell Scripting, and Autosys., Solid background in software development and data management..

Key responsibilities:

Develop and optimize ETL processes for data warehouses.

Design and maintain data models and database structures.

Collaborate on data integration and transformation projects.

Ensure data quality and performance tuning for large-scale data warehouses.

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

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