Senior Data Developer

Posted 2024-08-07

💎 Seniority level: Senior, 4+ years

📍 Location: Canada

🔍 Industry: Fintech

🗣️ Languages: English

⏳ Experience: 4+ years

🪄 Skills: PythonSQLNumpySnowflakeBusiness OperationsAirflowData engineeringPandas

4+ years of recent hands-on experience writing complex SQL queries on large data sets.
2+ years working with datasets/dataframes in Python (pandas / numpy / dask).
Experience with columnar database table design and building data pipelines (Redshift and/or Snowflake).
Experience with building data pipelines using task orchestrators such as Airflow/Google Dataflow/Luigi.
Excellent verbal and written communication skills.
Highly analytical and detail-oriented.
Ability to troubleshoot and fix issues quickly in a fast-paced environment.

Quickly gain a deep understanding of the business and data flow.
Build and scale data pipelines for the Enterprise Data warehouse.
Set up tools and processes for effective data management.
Drive data quality across the data warehouse.
Own the design, development, maintenance, and distribution of key data metrics and reports.

Posted 2024-11-16

📍 Canada

🔍 Video platform for business

Data Engineering Expertise: Dive deep into Data Systems (Collect, Ingest, Store, Process, Visualize, and Analyze).
Data Modeling Expertise: Designing and implementing robust, scalable data models optimized for performance.
Decisive in Ambiguity: Comfortable making decisions in uncertain situations.
Communication Champion: Exceptional clarity in understanding and managing risks, discussing technical trade-offs.
Collaboration Across Teams: Building a robust Company Data System in alignment with business needs and requirements.
Quality Leader: Driven to uplift standards in quality, reliability, and performance.
Lean & Experimental: Iterative and value-driven approach, love for experimentation.
Mentor & Guide: Sharing knowledge and mentoring team members.

Leading key projects enhancing our data pipeline and roadmap while assessing cutting-edge technologies.
Promoting the adoption of internally developed tools through engaging with users, creating comprehensive guides, and ensuring the tool integrates well with existing systems.
Ensuring code development and review meet our high standards.
Participating in our incident management process, addressing incidents, ensuring swift resolutions, and conducting thorough root cause analyses.
Integrating cost-effectiveness and security considerations into our data practices.

AWSNode.jsPostgreSQLSoftware DevelopmentMySQLRubyRuby on RailsData engineeringCollaborationMentoringCompliance

Posted 2024-11-16

🔧 Requirements