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Senior ETL Data Engineer ( US only)

Engineering | Remote in Los Angeles, CA | Contract | From $75.00 to $85.00 per hour

Job Description

JOB TYPE: Freelance, Contract Position - No agencies (See notes below)

LOCATION: Remote ( US Only )

HOURLY RANGE: Our client is looking to pay $75 - $85 USD / HR 

ESTIMATED DURATION: 40Hrs/Week - Short term


Must be in the US to Apply | W2 Role 

Requirements

• Minimum 10 year experience in BI development and support
• 7 years of experience with data warehouse concepts and methodologies
• 2 years of experience with AWS environment
• Experience with database design & modeling
• Experience with business intelligence or reporting tools (preferably Tableau and Alteryx) is a plus
• Working experience in ecommerce industry and web analytics will be a plus
• Excellent written and oral communication skills
• Highly motivated self-starter, detail and quality oriented and able to work independently

WHAT YOU’LL DO:

  • Senior ETL Data Engineer is responsible for design, develop, deliver and support ETL solutions using SQL scripts and various ETL tools.
    • Champion and manage new initiatives to completion to improve and streamline operations processes and maximize systems efficiency.
    • Work as part of a team to support business analytics for growing online consumer subscription service.
    • Play key role in building out a semantic layer through development of ETLs and virtualized views.
    • Participate in requirement definition, solution development and implementation phases of semantic layer.
    • Work with Engineering teams to explore and understand new data being introduced to front end application
    • Consolidate existing long running SQL scripts to build new ETL solutions in SQL
    • Create and maintain ETL specifications and process documentations to produce the required data deliverables (requirement, design, operational support guide, etc.).
    • Configure and tune ETL infrastructure to optimize the semantic layer architecture
    • Troubleshoot and resolve data, system, and performance issues.