Remote Data Warehouse Developer Jobs

About Turing.com:

Turing’s mission is to unleash the world’s untapped human potential. We use AI to source, evaluate, hire, onboard, and manage engineers remotely (including the HR and compliance aspects) in a bigger platform that we call the “Talent Cloud”.

We recently achieved unicorn status with a valuation of $1.1B, after raising over $140M in financing over four rounds of funding. 100+ companies including companies like Johnson & Johnson, Pepsi, Dell, Disney +, and Coinbase have hired Turing developers.

About the role:

We, at Turing, are looking for highly-skilled remote data warehouse developers who will be responsible for designing, developing, and maintaining data models and analytics architecture while delivering insightful business analytics and reports. Get a chance to work with top U.S. companies and accelerate your career.

Job responsibilities:

- Consolidate and optimize available data warehouse infrastructure
- Ensure data is verified and quality-checked
- Work on analytics and business intelligence platform for clients, including internal and third-party clients
- Design and implement ETL procedures to intake data from both internal and external sources
- Design and implement ETL processes and data architecture
- Collaborate with key stakeholders to finalize data warehouse architecture development and utilization
- Conduct database performance monitoring, tuning, and analysis
- Assist in data mart, meta data, and data model designs and extension
- Ensure data warehouse architecture code maintenance within a version control system

Job requirements:

- Bachelor’s/Master’s degree in Engineering, Computer Science, IT (or equivalent experience)
- At least 3+ years of experience in data warehouse architecture development and management (rare exceptions for highly skilled developers)
- Profound experience with technologies like SQL Server, and also SSIS and stored procedures
- Proficient in developing codes, testing for quality assurance, administering RDBMS, and monitoring of database
- Expertise in highly efficient dimensional modeling techniques and their applications
- Proven working experience with Tableau, SportFire, TIBCO, QlikView, MicroStrategy, Information Builders, and other reporting and analytical tools
- Strong knowledge of SAS and R programming language
- Good understanding of Hadoop, Impala, Pig, Hive, YARN, and other Big Data technologies
- Fluency in English language for effective communication
- Ability to work full-time (40 hours/week) with a 4 hour overlap with US time zones