Data Engineer (ETL/SQL)

 Posted 3 months ago
  
 Worldwide
  
2-5 years experience
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AI Summary

The role primarily focuses on ETL responsibilities, managing processes to extract, transform, and load data from multiple sources into a data warehouse while troubleshooting data errors. The remaining portion involves AI data wrangling, preparation, and applying ML models to gain insights and augment AI strategies.
Data Engineer (ETL/SQL)     
(Remote, Full-Time) 

Join Fullthrottle.ai, a cutting-edge Marketing Technology SaaS company, where our global software team operates seamlessly across 5 time zones and 6 countries, working collaboratively in a location-independent environment. Our teams thrive online, demonstrating autonomy, cooperation, and a shared commitment to ownership and excellence. 

We are currently seeking a dynamic and self-directed, mid-level Data Engineer (ETL/SQL) with a minimum of 3 years of ETL development experience to contribute to our innovative projects. The ideal candidate should possess strong communication skills, a solution-oriented mindset, and the ability to excel in a fast-paced Continuous Development Agile Environment. 

RESPONSIBILITIES: 
 
ETL Responsibilities (80% of role) 
  • Manage ETL process, translate complex business requirements into scalable and efficient data solutions. 
  • Investigate and troubleshoot data and user-related system errors to ensure data integrity. 
  • Implement ETL processes to extract, transform, and load data from multiple sources into a data warehouse. 
AI Data Preparation / Insights (20% of role) 
  • AI Data Wrangling and Preparation 
    • Cleaning, transform, and prepare large and complex datasets. 
    • Handling missing values, outliers, inconsistencies, and data quality issues. 
    • Data scaling, normalization, encoding, and feature engineering techniques. 
  • AI Data Planning to achieve FT’s AI Strategy 
  • Applying ML models to our prepared Data to gain insight 
  • Augmenting Models with our data to enable achievement of AI strategies. 
  • Designing, training, evaluating, and deploying ML models, integrating AI solutions into applications, and working with large datasets. 

REQUIREMENTS
  • Programming Languages and Skills:  
    • Python: Strong proficiency is required. Familiarity with libraries like Pandas, NumPy, Scikit-learn, TensorFlow, Keras, PyTorch, and potentially others depending on the domain (e.g., OpenCV for image processing, NLTK/SpaCy for NLP). 
    • SQL: Excellent skills in writing and optimizing complex SQL queries for data extraction, manipulation, and analysis from relational databases. 
    • R : experience of R would be a plus, though not a requirement 
    • Hands on experience of the various AWS Database & ETL services, particularly: S3, Python code,  Lambda, Cloud Formation and other AWS serverless resources. 
    • Active participation in Agile teams, collaborating with team members to review user stories, estimate effort, and contribute to sprint reviews. 
    • Solid understanding of various ML algorithms (supervised, unsupervised, reinforcement learning). 
    • Experience in training, evaluating, and deploying ML models would be a plus. 
    • Knowledge of model selection, hyperparameter tuning, and cross-validation techniques. 
    • Familiarity with ML frameworks and libraries mentioned above. 
    • 3+ years of experience in a similar ETL role is essential. Exposure to AI ML models and AI data solutions delivery a major plus. 
  • Remote Team Experience: 1+ years of experience working in a distributed remote technology team (a plus). 

PERSONAL PROFILE:  

We are seeking long-term team members who align with our values and can thrive in our distributed Continuous Development Agile Scrum team. Ideal candidates will be: 
  • Self-directed and self-motivated with a proven ability to deliver results. 
  • Strong communicators, capable of summarizing key deliverables and meeting daily deadlines. 
  • Experienced in a fast-paced Agile/Scrum development environment. 
  • Comfortable working in a distributed development environment with remote colleagues. 
  • Proven team players. 

Remote Minimum Requirements:  

Candidates must have a reliable high-speed internet connection, fluent written/spoken English, and be located within +/- 6 hours of US Eastern Standard Time. 
 

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