Data Engineer (ETL/SQL) at FullThrottle.ai

, , -

Full Time

Start Date

Immediate

Expiry Date

18 Jun, 26

Salary

0.0

Posted On

20 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, ETL, AWS, S3, Lambda, Cloud Formation, Agile, Scrum, Data Wrangling, Feature Engineering, ML Models, Data Integrity, Data Warehousing, Pandas, NumPy

Industry

Advertising Services

Description

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.

Responsibilities

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.