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.