10 días
Expira 12/06/2025
Senior Data Engineer
Senior Data Engineer
Note To Applicants
- Eligibility: This position is open to candidates residing in Latin America.
- Application Language: Please submit your CV in English. Applications submitted in other languages will not be considered.
- Professional Presentation: We encourage you to showcase your professional experience by including a Loom video in the application form. While this is optional, candidates who provide a video presentation will be given priority.
- Responsible for developing and supporting data pipelines that support and enable the overall strategy of expanded data programs, services, process optimization, and advanced business intelligence
- Design and develop scalable data warehousing solutions, building ETL pipelines in Big Data environments (cloud, on-prem, hybrid)
- Leading data discovery sessions with business teams, comprising product owners, data analysts, and cross-team technologists to understand enterprise data requirements of analytics projects
- Ensure proper testing and monitoring are in place to provide trusted and reliable data from the data stack.
- Partner with business domain experts, system analysts, data/application architects, and development teams to ensure data design is aligned with business strategy and direction
- Identify and document standard methodologies, standards, and architecture guidelines
- Dive deep, as required, to assist Business Intelligence Engineers through technical hurdles impacting delivery
- Participating in a shared on-call rotation monitoring the health of the team’s systems
- 2+ years of data architecture related experience such as data analysis, data modeling, and data integration.
- 4+ years of Experience in custom ETL design, implementation, and maintenance
- Advanced Knowledge of programming languages (Python and/or R)
- Hands-on experience with SQL database design
- Experience working on AWS
- Experience working with relational databases (Snowflake, Redshift)
- Bachelor’s or Master’s Degree in Computer Science, Information Systems, or related field
- Experience working with reporting tools such as Tableau
- Experience with event streaming with modern event streaming toolings like Kafka or Kinesis.
- Experience with subscription service products
- Knowledge of accounting, FP&A, and marketing functions
Compensation : Paid in USD
Location : 100% remote opportunity
If this opportunity sounds good to you, send us your resume!