Key skills
PythonSQLAIMachine LearningData EngineeringAnalyticsMentoring
About this role
Role Overview
- This role is responsible for data collection procedures, including accurate and relevant data for machine learning models, extracting and analyzing data from the primary and secondary database.
- Ensures data integrity and compliance by performing data cleansing and data validations.
- Performs root-cause analysis and recommends or executes corrective actions by implementing auto detect, auto dragonize and auto correct when data from related system problems occur.
- Applies subject matter knowledge to solve complex business issues within established guidelines and recommends appropriate alternatives.
- Designs and establishes secure and performant data architectures, enhancements, updates, and programming changes for portions and subsystems of data pipelines, repositories or models for structured/unstructured data.
- Analyzes design and determines coding, programming, and integration activities required based on general objectives and knowledge of overall architecture of product or solution.
- Writes and executes complete testing plans, protocols, and documentation for assigned portion of data system or component; identifies and debugs, and creates solutions for issues with code and integration into data system architecture.
- Leads a project team of other data engineers to develop reliable, cost effective and high-quality solutions for assigned data system, model, or component.
- Collaborates and communicates with project team regarding project progress and issue resolution.
- Analyzes data inaccuracies, identifies opportunities and supports the development of automated solutions to enhance overall quality of the enterprise data.
- Identifies problematic areas and conducts research to determine the best course of action to correct the data; identifies, analyzes and interprets trends and patterns in complex datasets.
- Works cross-functionally with different departments to assess, define, and develop report deliverables.
- Represents the software data engineering team for all phases of larger and more-complex development projects.
- Provides guidance and mentoring to less experienced staff members.
Requirements
- Four-year or Graduate Degree in Computer Science, Information Technology, Software Engineering, Statistics/ Mathematics, or any other related discipline or commensurate work experience or demonstrated competence.
- Typically has 4-7 years of work experience, preferably in data analytics, data engineering, data modeling, or a related field or an advanced degree with 3-5 years of work experience.
- Programming Language/s Certification (SQL, Python, or similar) and experience in implementing AI solutions to solve complex data quality problems
Tech Stack
- Python
- SQL
Benefits
- Health insurance
- Flexible work arrangements
- Professional development