Sr. Data Engineer

Company:  Gravity IT Resources
Location: Miami
Closing Date: 16/10/2024
Salary: £100 - £125 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / Description

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Job Title: Senior Data Engineer

Location: Miami, Florida – Bentonville, Arkansas – Dallas, Texas (Hybrid)

Job-Type: Direct Hire

Employment Eligibility: Gravity cannot transfer nor sponsor a work visa for this position. Applicants must be eligible to work in the U.S. for any employer directly (we are not open to contract or “corp to corp” agreements).

Summary of Position:
We are seeking a Data Engineer to support our marketing and digital analytics initiatives. The ideal candidate is an experienced, strategic data engineer with deep experience in data ingestion, data modeling, and monitoring/alerting. They’re excited about the opportunity to build a world-class data infrastructure and enabling analysts.

We are bringing modern data and technology to our industry. If you are passionate about data engineering, data-driven solutions, and creating innovative solutions to business problems, we would love to hear from you! Apply now to join us on this exciting journey.

Responsibilities

  • Ingest, analyze, and organize raw data into easy-to-use data sets for analysts, data scientists, and machine learners
  • Build data systems and pipelines leveraging dbt, Snowflake, and Prefect
  • Conduct complex data analysis and report on results
  • Prepare data for prescriptive and predictive modeling
  • Build algorithms and prototypes
  • Combine raw information from different sources
  • Explore ways to enhance data quality and reliability
  • Identify opportunities for data acquisition
  • Collaborate with data scientists and architects on several projects

Qualifications

  • Bachelor’s degree or higher in Statistics, Economics, Math, Computer Science, or a related analytical field with equivalent experience.
  • 5+ years in Data Engineering
  • Live in Python and SQL
  • Excellent problem-solving and analytical skills
  • Proactive, not reactive, with the ability to work independently in a fast-paced environment
  • Ability to take in loose requirements and produce scalable and reliable data infrastructure
  • Confident in learning new tools, technologies, and methodologies
  • Expertise with DBT, Snowflake, Funnel, and Prefect
  • Designs, builds, and monitors key data pipelines from end to end

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