Vacancy expired!
- 2+ years of experience in software development and full product lifecycle.
- 3+ years of experience in writing SQL statements.
- 5+ years of experience in ETL design, implementation, and maintenance.
- 5+ years of experience with object-oriented programming languages (e.g., python).
- 5+ years of experience with schema design and dimensional data modeling.
- Experience in the data warehouse space.
- Experience analyzing data to identify gaps and inconsistencies.
- Experience managing and communicating data source and data pipeline plans to internal audiences.
- Sharp problem-solving skills and ability to resolve ambiguous requirements.
- BA/BS in Computer Science or related field or equivalent experience
- Experience working with AWS services - S3, Redshift, ML
- Experience working with Data Lakes
- Experience working with and building reports using tools like PowerBI, Tableau
- Proficiency with Ruby on Rails.
- Experience working autonomously in global teams.
- Experience influencing critical decisions with data.
- Conceptualize and own the data architecture for our suite of tools and analytics platform.
- Create and contribute to frameworks that improve the efficiency of logging data, while working with data infrastructure to troubleshoot and resolve issues.
- Collaborate with engineers, product managers, product design and product marketing to understand data needs, representing key data insights in a meaningful and actionable way.
- Define and manage SLA for all data sets.
- Determine and implement the security model based on security and privacy requirements, confirm safeguards are followed, address data quality issues and evolve governance processes.
- Design, build and launch sophisticated data models and visualizations that support our products and global operational processes.
- Solve data integration problems, utilizing ETL patterns, frameworks, query techniques, sourcing from structured and unstructured data sources.
- Optimize pipelines, dashboards, frameworks, and systems to streamline development of data artifacts.
- Mentor team members for best practices in the data engineering space.
- Commitment to documentation.
Vacancy expired!