Sr. Data Engineer

Driven to Deliver (What You'll Do)

• Develop and maintain the core data pipelines, involving the creation of production-level SQL and Python code to fuel our platforms.
• Adapt and enhance data models and data schemas to align with both business and engineering requirements.
• Conduct data analysis to contribute to the enhancement of overall business performance.
• Identify and select optimal data sources for specific analytical tasks.
• Establish procedures for data mining, data modeling, and data production.
• Collaborate with internal and external partners to address challenges and ensure successful outcomes.

Equipped to Excel (Qualifications)

• Educational Background: Possess a Bachelor's degree in computer science, statistics, or mathematics.
• Programming Expertise: 5+ years of experience with Python, with the ability to write production-level code.
• SQL Proficiency: 5+ years of experience in SQL, with excellent skills in navigating multiple data tables and comprehending data models.
• Cloud Computing: 3+ years of hands-on experience with cloud computing services, particularly AWS (Amazon Web Services).
• Data Architecture: Proven experience in designing data architectures, including Kafka, Data Warehouses and Operational Data Stores (ODS).
• Cloud-Based Analytics: Possess a strong understanding of cloud-based analytics platforms, such as Snowflake and AWS SageMaker.
• Data Workflow Management: Ideally, possess at least 1 year of experience with data workflow management tools, with Airflow experience being a plus.
• Data Cleaning: Be skilled in data cleaning and standardization processes.
• SQL Engine: Exhibit an excellent understanding of SQL engines and the capability to perform advanced performance tuning.

Distinct by Design (What Sets You Apart)

• Self-Sufficient and proactive nature, able & comfortable "figuring things out", resorting to escalation only when after exhausting all other options
• Exceptional communication skills, both verbal and written, with a knack for explaining complex concepts in a clear & concise manner across all levels and functions
• Team members are encouraged to work collaboratively with an emphasis on results, not on hierarchy or titles.