**Position Summary**:
**Primary Accountabilities**:
- Demonstrate competence with data science techniques and tools used by the team, including the use of machine learning and statistical analysis
- Demonstrate competence in identifying, extracting, cleaning, evaluating, visualizing, and transforming applicable data with a variety of techniques and tools, including various SQL and NoSQL databases
- Demonstrate competence in software development (scrum, scripting, programming, versioning, testing, deploying, containerization, production support, etc.)
- Demonstrate good communication skills, especially when collaborating with team members
- Publicize results and findings via reports, presentations, and technical specifications
- Demonstrate a drive to keep skills and knowledge up to date
- Demonstrate innovation and continuous improvement
- Demonstrate professionalism with focus on customer satisfaction and product quality
- Work with direct supervision on specific tasks, but is self-directed and curious
- Must be able to function well as part of a team
**Required Qualifications**:
- Bachelor’s degree in Computer Science, Statistics or any related field with an applied quantitative and experimentation focus
- Masters or PhD Degree in quantitative and experimentation focused field is preferred
- 3-5 years of related work experience in machine learning, data visualization, and other data science techniques; or any equivalent combination of experience and training that provides the required knowledge, skills, and abilities needed to complete the job responsibilities
- Extensive experience in software development (scripting, programming, versioning, testing, deploying) on Linux and Microsoft Platforms




- Extensive experience in databases (data processing extraction, cleansing and transformation)
- Proficient with presentation software: Microsoft Office & Google Suites and giving presentations to technical and non-technical audiences
- B.S. in computer science or information systems fields required, or 5+ years related work experience.
- Strong analytical, critical thinking skills used to solve complex problems
- Strong technical background with a mix of development and automation skills
- Outstanding attention to detail and consistently meets deadlines
- Exceptional communication and interpersonal skills
- Ability to work alongside a highly collaborative team, but also a self-starter, able to work independently with little guidance
- Experience in troubleshooting, performance tuning, and optimization
- Proficient in shell scripting, Python, Scala or other programming languages
- Knowledge of Spark/PySpark
- Excellent SQL knowledge, ability to read/write SQL queries
- Skilled in Hive (HQL) and HDFS
- Experience working with both unstructured and structured data sets, including flat files, JSON, XML, ORC, Parquet and AVRO
- Comfortable working with big data environments and dealing with large diverse data sets
- Proficient in Linux environments
- Familiarity with source code management/versioning tools such as Github
- Understanding of CI/CD principles and best practices in data processing
- Experience building data visualization dashboards to capture data quality metrics using tools like Tableau
- Understanding of public cloud technologies such as AWS, GCP and Azure is a plus
- Ocultar descripción completa
Pay: $30,000.00 - $35,000.00 per month
Work Location: Hybrid remote in 67150, Guadalupe, N. L.

📌 Data Quality Engineer (Isla Guadalupe)
🏢 Winston Data
📍 Isla Guadalupe