Python Data Engineer

Responsibilities:

• Display passion for delivering high quality products that meet customers' needs
• Solving data-oriented problems in an analytical and iterative fashion
• Perform analysis, architecture, design, and development of cloud data solutions
• Working with various kinds of data (structured, unstructured, metrics, logs, json, xml, etc.)
• Working in various agile methodologies (Scrum, Kanban, SAFe)

Qualifications / Required Experience:

• 3 years of Python Development, with emphasis in ETL Development
• 5 years of SQL experience, with emphasis in Data Analysis
• Proficiency in relational database design and development
• Experienced building and scaling batch/asynchronous systems
• Hands-on development using and migrating data to cloud platforms, AWS
• Analytical approach to problem-solving; ability to use technology to solve business problems

Desired Experience:

• Data pipeline orchestration tools such as Airflow, Amazon Glue
• Familiarity with PostGres, Redshift
• Cloud platform certification(s) (example: AWS Certified Solutions Architect)

Job Type: Contract

Experience:

• relational database design and development: 1 year (Preferred)
• Python Development, with emphasis in ETL Development: 3 years (Preferred)
• PostGres, Redshift: 1 year (Preferred)
• SQL experience, with emphasis in Data Analysis: 5 years (Preferred)
• agile methodologies (Scrum, Kanban, SAFe): 1 year (Preferred)
• migrating data to cloud platforms, AWS: 1 year (Preferred)